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fromdevcom · 7 days ago
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This is being considered as big data and NOSQL decade for software industry. Most of new software development is happening using NOSQL database. There are many NOSLQ Databases however MongoDB is the most popular choice due to being highly scalable open source & free NOSQL database option. Many high volume web applications and mobile applications are designed using MongoDB as a backend database. In this article we are going to cover all high level details you need to know about MongoDB and its usage. You may also want to check some good MongoDB books to learn and become a Mongo DB expert. Everlasting Popularity of MongoDB Explained Traditional databases have long been built on a singular architecture of Database -> Table -> Row/column -> table join. This led to expressive query-based languages (such as MySQL), uniformity, and facility for secondary indexes. However it lacks on a few crucial fronts – factors that can drive the success of your application or website. The interesting thing about MongoDB is that, as against traditional table structure in relational databases, MongoDB uses dynamic schemas (BSON). This ensures a more agile, nimble, and fast database - a much needed trait in today’s technology landscape where data is huge, time is short, risk is bigger, and cost needs to shrink every time. History of MongoDB The company, MongoDB Inc, first rolled out the service in October 2007 as a small component of a product platform. But within 2 years, it was transitioned to open source development approach. Ever since, it continues to be embraced by scores of websites and applications as a preferred backend software. What is MongoDB? Developed over C++, MongoDB is a wildly popular open source NoSQL database. Its cross-platform architecture provides immense utility and versatility to programmers who want to make us of a document oriented open source database. Mongo DB Popularity on Google Search Below is a snapshot of google search trends that show popularity of MongoDB has been growing in past few years. Why is MongoDB So Popular? It is not for no reason that business behemoths like eBay, Craigslist, or Foursquare depend on MongoDB. There are many compelling success factors that ensure that MongoDB continues to enjoy top billing as the world’s fourth most loved database. Let’s look at some of these – Huge volume of data? Bring it on! Imagine having millions of records to be stored, accessed, processed or shared in real time. With Big Data throwing curve balls every single day, MongoDB is the one database that can handle such large data with absolute ease. One practical example we see is Craigslist that uses MongoDB as a backend. It sees about 80-82 million advertising classifieds posted every month from across 70 countries. As such, its repositories gets populated pretty quickly. MongoDB not only handles this sheer size of data, but also helps in timely archiving and access to data across 700 different sites. Schema less architecture and sharding Because of its document based architecture, MongoDB features one collection (just like a table). This scale-out architecture adds value at multiple levels over the monolithic architecture of MySQL. It also helps to be better aligned with OOP principles. When it comes to load balancing, MongoDB uses horizontal scaling with help of sharding (storing data on multiple machines for efficient usage). You can add machines to balance your load needs and prevent any overload on a single machine. With sharding comes the issue of synchronization – something that is actually a non-issue, with the powerful replication facility provided by MongoDB. Replication helps redundancy and improves availability of the most up to date data. The combination of sharding and replication also comes in handy when recovering from a catastrophic IT failure or interruptions in services. Quick to set up and deployment MongoDB presents a very quick setup and deployment time. This not only helps client business to ramp up faster, but also helps them delight their customers with their agility and speed.
A good example is Forbes, which used MongoDB to come up with a simultaneous web CMS and mobile site. While the web CMS came up in two months only, the mobile site was ready in just 30 days. Better for your business Taking the above example of Forbes website, the publishing company took up the step of overhauling their content management systems. When the mobile site and website CMS came up, it managed to create a lasting impression on the minds of its users – prime being the fast access and speedy content delivery facility. As a result (to quote MongoDB’s words) “Overnight, mobile traffic jumped from 5% to 15% of Forbes.com total traffic, and quickly ramped to 50%”. In addition to the revenue increase, it also helped cut down on cost overheads by keeping just one full time and one part time IT person for the mobile website. High Performance Persistent data is handled smartly by MongoDB, thus leading to a high performance backend. It enables this in two distinct ways Embedding data in single structure. The schema is known as ‘denormalized’ model and is successful because of the BSON enabled document-like structure. Because of this, the I/O operations on the database system is reduced dramatically, leading to faster working backend. Using the ‘ensureIndex’ function, a field being indexed will return a result at just 8%-10% of the time taken for querying and searching every document in a collection of the MongoDB database. This is a vital time saving advantage. Indexing also provides the facility to include keys from embedded objects or arrays. Why Pick MongoDB? As is evident, express setup, huge data handling capacity, and horizontal scaling ability, are three key advantages that work highly in favor of MongoDB. This makes it an apt open source backend system to use for today’s times where content management delivery, data hubs, social media, big data, cloud computing, and mobility, have generated colossal volume of dynamic data. Where can we use MongoDB? If your data is too complex to be queries on a relational database If there are high occurrences of denormalizing the database schema If there are high occurrences of programming involved to tweak performance If your inputs are in form of BSON documents or serialized arrays If you want to store documents irrespective of the relation If pre-defining the schema or structure is not possible  Where should we NOT use MongoDB? If you need ACID compliance then MongoDB will not be a right choice. Also because of inherent limitations associated with a 32-bit system, MongoDB doesn’t perform well here, and instead recommends a 64-bit architecture. To sign off MongoDB has proven its mettle handling incredibly huge data. With its schema less architecture and zero relational dependency, it has sustained at a leadership position as a NoSQL database of choice for today’s companies who want to surge ahead of competition with fast, agile and scalable application and websites. Harry is a web industry specialist having keen interest in reading novels and writing tech blogs on diverse topics.Currently, He is associated with Techiesindiainc, specializing in offshore web development and iOS development services.Techiesindiainc has more than 200 international clients who outsource Website Design And Development projects along with various other IT requirements.
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cybersecurityict · 10 days ago
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Cloud Database and DBaaS Market in the United States entering an era of unstoppable scalability
Cloud Database And DBaaS Market was valued at USD 17.51 billion in 2023 and is expected to reach USD 77.65 billion by 2032, growing at a CAGR of 18.07% from 2024-2032. 
Cloud Database and DBaaS Market is experiencing robust expansion as enterprises prioritize scalability, real-time access, and cost-efficiency in data management. Organizations across industries are shifting from traditional databases to cloud-native environments to streamline operations and enhance agility, creating substantial growth opportunities for vendors in the USA and beyond.
U.S. Market Sees High Demand for Scalable, Secure Cloud Database Solutions
Cloud Database and DBaaS Market continues to evolve with increasing demand for managed services, driven by the proliferation of data-intensive applications, remote work trends, and the need for zero-downtime infrastructures. As digital transformation accelerates, businesses are choosing DBaaS platforms for seamless deployment, integrated security, and faster time to market.
Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/6586  
Market Keyplayers:
Google LLC (Cloud SQL, BigQuery)
Nutanix (Era, Nutanix Database Service)
Oracle Corporation (Autonomous Database, Exadata Cloud Service)
IBM Corporation (Db2 on Cloud, Cloudant)
SAP SE (HANA Cloud, Data Intelligence)
Amazon Web Services, Inc. (RDS, Aurora)
Alibaba Cloud (ApsaraDB for RDS, ApsaraDB for MongoDB)
MongoDB, Inc. (Atlas, Enterprise Advanced)
Microsoft Corporation (Azure SQL Database, Cosmos DB)
Teradata��(VantageCloud, ClearScape Analytics)
Ninox (Cloud Database, App Builder)
DataStax (Astra DB, Enterprise)
EnterpriseDB Corporation (Postgres Cloud Database, BigAnimal)
Rackspace Technology, Inc. (Managed Database Services, Cloud Databases for MySQL)
DigitalOcean, Inc. (Managed Databases, App Platform)
IDEMIA (IDway Cloud Services, Digital Identity Platform)
NEC Corporation (Cloud IaaS, the WISE Data Platform)
Thales Group (CipherTrust Cloud Key Manager, Data Protection on Demand)
Market Analysis
The Cloud Database and DBaaS Market is being shaped by rising enterprise adoption of hybrid and multi-cloud strategies, growing volumes of unstructured data, and the rising need for flexible storage models. The shift toward as-a-service platforms enables organizations to offload infrastructure management while maintaining high availability and disaster recovery capabilities.
Key players in the U.S. are focusing on vertical-specific offerings and tighter integrations with AI/ML tools to remain competitive. In parallel, European markets are adopting DBaaS solutions with a strong emphasis on data residency, GDPR compliance, and open-source compatibility.
Market Trends
Growing adoption of NoSQL and multi-model databases for unstructured data
Integration with AI and analytics platforms for enhanced decision-making
Surge in demand for Kubernetes-native databases and serverless DBaaS
Heightened focus on security, encryption, and data governance
Open-source DBaaS gaining traction for cost control and flexibility
Vendor competition intensifying with new pricing and performance models
Rise in usage across fintech, healthcare, and e-commerce verticals
Market Scope
The Cloud Database and DBaaS Market offers broad utility across organizations seeking flexibility, resilience, and performance in data infrastructure. From real-time applications to large-scale analytics, the scope of adoption is wide and growing.
Simplified provisioning and automated scaling
Cross-region replication and backup
High-availability architecture with minimal downtime
Customizable storage and compute configurations
Built-in compliance with regional data laws
Suitable for startups to large enterprises
Forecast Outlook
The market is poised for strong and sustained growth as enterprises increasingly value agility, automation, and intelligent data management. Continued investment in cloud-native applications and data-intensive use cases like AI, IoT, and real-time analytics will drive broader DBaaS adoption. Both U.S. and European markets are expected to lead in innovation, with enhanced support for multicloud deployments and industry-specific use cases pushing the market forward.
Access Complete Report: https://www.snsinsider.com/reports/cloud-database-and-dbaas-market-6586 
Conclusion
The future of enterprise data lies in the cloud, and the Cloud Database and DBaaS Market is at the heart of this transformation. As organizations demand faster, smarter, and more secure ways to manage data, DBaaS is becoming a strategic enabler of digital success. With the convergence of scalability, automation, and compliance, the market promises exciting opportunities for providers and unmatched value for businesses navigating a data-driven world.
Related reports:
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monpetitrobot · 1 month ago
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global-research-report · 3 months ago
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Revolutionizing Data Storage: An In-Depth Analysis of the Database Management System Market
The global database management system market size was estimated at USD 100.79 billion in 2023 and is expected to grow at a CAGR of 13.1% from 2024 to 2030. Organizations across industries are undergoing digital transformation to enhance their operations, customer experiences, and business models. This transformation requires advanced DBMS solutions to manage complex data environments effectively. In addition, the exponential increase in data generation from various sources, including social media, IoT devices, and enterprise applications, necessitates robust database management system (DBMS) solutions to manage, store, and analyze this vast amount of data.
The increasing importance of big data analytics for decision-making and gaining competitive insights is driving the demand for the DBMS market. Advanced analytics and real-time data processing capabilities are essential for extracting value from big data. The shift towards cloud computing is a significant driver for the DBMS market. Cloud-based DBMS solutions offer scalability, flexibility, and cost-efficiency, making them efficient for businesses of all sizes. Furthermore, the integration of artificial intelligence and machine learning technologies in DBMS enhances data processing, management, and analysis capabilities. AI-powered DBMS can automate tasks, provide predictive insights, and improve overall efficiency.
The rise of NoSQL databases, which are designed for unstructured data and scalable, distributed systems, is driving market growth. These databases are particularly popular in various applications such as social media, e-commerce, and big data analytics. The adoption of microservices architecture in software development requires flexible and scalable DBMS solutions to manage data across distributed environments. Advancements in DBMS technology, such as in-memory databases and distributed databases, offer improved performance and scalability.
Global Database Management System Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global database management system market report based on type, deployment, organization size, vertical, and region:
Type Outlook (Revenue, USD Million, 2017 - 2030)
Relational
Non-relational
Deployment Outlook (Revenue, USD Million, 2017 - 2030)
Cloud
On-premises
Organization Size Outlook (Revenue, USD Million, 2017 - 2030)
Large Enterprises
SMEs
Vertical Outlook (Revenue, USD Million, 2017 - 2030)
BFSI
IT & Telecom
Retail & E-commerce
Healthcare & Life Sciences
Government
Manufacturing
Media & Entertainment
Others
Regional Outlook (Revenue, USD Million, 2017 - 2030)
North America
US
Canada
Mexico
Europe
UK
Germany
France
Asia Pacific
China
India
Japan
Australia
South Korea
Latin America
Brazil
MEA
UAE
South Africa
KSA
Key Database Management System Companies:
The following are the leading companies in the database management system market. These companies collectively hold the largest market share and dictate industry trends.
Amazon Web Services
Google Cloud
International Business Machines Corporation
Microsoft
MongoDB, Inc.
Oracle
Redis
SAP SE
Snowflake Inc.
Teradata
Order a free sample PDF of the Database Management System Market Intelligence Study, published by Grand View Research.
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impact-newswire · 4 months ago
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MongoDB Announces Acquisition of Voyage AI to Enable Organizations to Build Trustworthy AI Applications
News Release – February 24, 2025 MongoDB to integrate Voyage AI’s industry-leading embedding and reranking models, delivering highly accurate and relevant information retrieval to power sophisticated AI use cases NEW YORK, Feb. 24, 2025 /PRNewswire/ — MongoDB, Inc. (NASDAQ: MDB), the leading database for modern applications, today announced it has acquired Voyage AI, a pioneer in…
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industrynewsupdates · 4 months ago
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Understanding Managed Services Market: Trends and Growth Drivers
The global managed services market is projected to reach USD 731.08 billion by 2030, as per a recent study by Grand View Research, Inc. The market is expected to grow at a CAGR of 13.6% from 2024 to 2030. Key factors contributing to this growth include enhanced profit margins, improved operational efficiency, and the ability to cater effectively to the needs of dynamic business environments. Additionally, the benefits of managed services, such as reducing IT operational costs and improving organizational efficiency, are anticipated to drive market expansion.
Managed services help organizations reduce ongoing in-house IT expenses by ensuring optimal performance of IT infrastructure and automating business operations. This enables businesses to achieve key objectives, particularly in terms of improving profitability and strengthening the bottom line. These services also assist various end-users, including government organizations and experts in architectural design reviews, in addressing their unique digital transformation needs and advancing cloud adoption.
For example, in July 2023, MongoDB, Inc. launched MongoDB Atlas for the public sector, a platform that allows government agencies and public sector entities to create modern, data-driven applications. As part of this initiative, public sector organizations can access specialized technology partnerships, expert-led architectural design reviews, and specific training to meet their technological needs.
During the COVID-19 pandemic, many businesses, including managed services providers (MSPs), faced challenges. However, organizations worldwide turned to managed services to maintain operational efficiency during lockdowns. As a result, spending on new automation projects gradually slowed during the pandemic.
Gather more insights about the market drivers, restrains and growth of the Managed Services Market
Managed Services Market Report Highlights
• Solution Segment: The managed security segment is expected to grow at the fastest CAGR of 14.7% during the forecast period. This growth is attributed to the increasing adoption of managed security services across various industries, offering benefits like security monitoring, email threat management, backup restoration, and support & maintenance management.
• Managed Information Services: The business support systems segment is forecast to grow at the fastest CAGR of 14.2% from 2023 to 2030. This growth is driven by the increasing adoption of services like business analysis, database integration, demand management, and project management in industries worldwide.
• Deployment: The on-premise deployment segment led the market in 2022, capturing 64.4% of the revenue share. Many organizations prefer on-premise deployment as it doesn't rely on internet connections and allows for easier software customization to meet specific business needs.
• Enterprise Size: The small & medium enterprises (SMEs) segment is expected to register the fastest CAGR of 14.3% from 2023 to 2030. This growth is driven by increasing government initiatives and digital SME campaigns across the globe.
• End-Use: The healthcare segment is projected to grow at the fastest CAGR of 14.7% over the forecast period. Managed services are increasingly being adopted by healthcare organizations to protect patient data and secure financial transactions, contributing to this growth.
• Region: North America held the largest market share in 2022, with over 30% of the revenue share. The growing number of multinational companies (MNCs) in North America is expected to support continued regional market growth.
Browse through Grand View Research's Next Generation Technologies Industry Research Reports.
• Quality Management Software Market: The global quality management software market size was estimated at USD 11.14 billion in 2024 and is projected to grow at a CAGR of 10.6% from 2025 to 2030.
• Restaurant Management Software Market: The global restaurant management software market size was estimated at USD 5.79 billion in 2024 and is projected to grow at a CAGR of 17.4% from 2025 to 2030.
Managed Services Market Segmentation
Grand View Research has segmented the global managed services market report based on solution, managed information service (MIS), deployment, enterprise size, end use, and region:
Managed Services Solution Outlook (Revenue, USD Billion, 2018 - 2030)
• Managed IT Infrastructure & Data Center
o Server Management
o Storage Management
o Managed Print Services
o Others
• Managed Network
o Managed Wi-Fi
o Managed LAN
o Managed VPN
o Managed WAN
o Network Monitoring
o Others
• Managed Mobility
o Application Management
o Device Life Cycle Management
• Managed Communication & Collaboration
o Managed Voice over Internet Protocol (VoIP)
o Managed Unified Communications as a Service (UCaaS)
o Others
• Managed Information
o Managed Operational Support Systems/Business Support Systems (OSS/BSS)
o Business Process Management
• Managed Security
o Managed Firewall
o Managed Vulnerability Management
o Managed Risk & Compliance Management
o Managed Antivirus/Antimalware
o Managed Encryption
o Managed Unified Threat Management
o Managed Security Information & Event Management (SIEM)
o Managed Intrusion Detection Systems/Intrusion Prevention Systems (IDS/IPS)
o Others
• Managed Backup and Recovery
Managed Services Managed Information Service (MIS) Outlook (Revenue, USD Billion, 2018 - 2030)
• Business Process Outsourcing (BPO)
• Business Support Systems
• Project & Portfolio Management
• Others
Managed Services Deployment Outlook (Revenue, USD Billion, 2018 - 2030)
• On-premise
• Hosted
Managed Services Enterprise Size Outlook (Revenue, USD Billion, 2018 - 2030)
• Small & Medium Enterprises (SMEs)
• Large Enterprises
Managed Services End-use Outlook (Revenue, USD Billion, 2018 - 2030)
• BFSI
• Government
• Healthcare
• IT & Telecom
• Manufacturing
• Media & Entertainment
• Retail
• Others
Managed Services Regional Outlook (Revenue, USD Billion, 2018 - 2030)
• North America
o U.S.
o Canada
• Europe
o U.K.
o Germany
o France
• Asia Pacific
o Japan
o China
o India
o South Korea
o Australia
• Latin America
o Brazil
o Mexico
• Middle East & Africa (MEA)
o United Arab Emirates (UAE)
o Saudi Arabia
o South Africa
List of Key Players in Managed Services Market
• Accenture
• Atera Networks Ltd.
• ARYAKA NETWORKS, INC.
• AT&T Inc.
• BMC Software, Inc.
• Broadcom
• Cisco Systems, Inc.
• DXC Technology Company
• Fujitsu
• HCL Technologies Limited
• HP Development Company, L.P.
• International Business Machines Corporation
• Lenovo
• ScalePad Software Inc.
• Telefonaktiebolaget LM Ericsson
Order a free sample PDF of the Managed Services Market Intelligence Study, published by Grand View Research.
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aitoolswhitehattoolbox · 5 months ago
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AI Software Development work from home job/internship at Absolute Intelligence, Inc
like Node.js, Supabase, and MongoDB to ensure robust and efficient performance. 3. AI Integration: Leverage APIs like OpenAI… Apply Now
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leprivatebanker · 6 months ago
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Analyst Report: MongoDB Inc
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metastatblog · 8 months ago
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Open source Database software market Analysis, Size, Share, Growth, Trends, and Forecasts by 2031
Tumblr media
Open-source database software is a special type of software that takes transparency to a whole new level. Unlike traditional software, where the inner workings are hidden, open-source database software proudly showcases its source code to the world. 
𝐆𝐞𝐭 𝐚 𝐅𝐫𝐞𝐞 𝐒𝐚𝐦𝐩𝐥𝐞 𝐑𝐞𝐩𝐨𝐫𝐭:https://www.metastatinsight.com/request-sample/2412
Top Companies
Redis Labs, Inc.
MongoDB, Inc.
Couchbase, Inc.
The Apache Software Foundation
MariaDB Corporation
Neo4j, Inc.
Oracle Corporation (MySQL)
The PostgreSQL Global Development Group
InfluxData Inc.
io Inc.
This means that anyone with an interest can not only peek under the hood but also tinker with it, adapt it to their needs, and even share it far and wide without any restrictions. In the world of databases, this software is akin to a digital Swiss Army knife, serving the vital functions of creating, storing, retrieving, and efficiently managing data. Global Open-Source Database Software market is estimated to reach $5,021.8 million in 2023 with a CAGR of 28.2% from 2023 to 2030.
𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭:
@https://www.metastatinsight.com/report/open-source-database-software-market
The Global Open-Source Database Software market. Picture MySQL, PostgreSQL, MongoDB, MariaDB, and a host of others, all playing starring roles. These systems are the unsung heroes behind countless business operations, organizational processes, and dazzling web applications. They're the backstage wizards powering everything from your favorite websites to the latest data analytics marvels, and they do it all with grace and precision.
But, like any thriving ecosystem, this market is not just about the software itself. It's a vibrant community teeming with software providers, developers, and a web of services and solutions intricately woven around open-source databases. This ecosystem dances to the rhythm of innovation and support, offering a cornucopia of services. There are experts who craft and maintain database software, ensuring it stays sharp and robust. Others specialize in consultancy, guiding businesses on the best ways to harness the power of these databases. Support services provide a safety net for those in need, and training programs help nurture the next generation of open-source database enthusiasts.
The growth of the open-source database software market has been nothing short of spectacular in recent years. Why? Well, for starters, it's like finding a treasure chest of cost-effectiveness and flexibility. Organizations worldwide are drawn to open-source solutions like bees to honey. They relish the freedom to sculpt the software to match their unique needs, a luxury not always afforded by proprietary database systems. What's more, it's a wallet-friendly choice, as the total cost of ownership tends to be much lighter.
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market-insider · 10 months ago
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Managed Services Market Future Outlook: Analyzing Size, Share, and Growth Patterns
The global managed services market size is projected to reach USD 731.08 billion by 2030, according to a new study conducted by Grand View Research, Inc. The market is anticipated to grow at a CAGR of 13.6% from 2023 to 2030. Strengthening profit margins, which cater efficiently to the needs of dynamic business environments, and improvements in operational efficiency are also expected to contribute to the growth of the market. Benefits associated with managed services implementation, such as a significant reduction in IT operational expenses and increased organizational efficiency, are also anticipated to drive market growth.
Managed services help reduce recurring in-house IT expenditures by ensuring the IT infrastructure is running at optimal efficiency at all times while also automating business operations. This subsequently allows organizations to effectively achieve their business objectives, especially pertaining to strengthening the bottom line and increasing profitability. These initiatives also help various end-users, such as expert-led architectural design reviews, public sector, and government organizations to address unique digital transformation and accelerate cloud adoption.
For instance, in July 2023, MongoDB, Inc., a developer of the data platform, announced MongoDB Atlas for the public sector, an initiative that enables government agencies and public sector organizations to develop modern, data-driven applications that better serve end-users at MongoDB.local for government solutions platform. As part of the new initiative, public sector organizations can access tailored technology partnerships, expert-led architectural design reviews, and specific data to provide tailored technology training.
Several businesses encountered challenges due to the COVID-19 pandemic, and managed services providers (MSPs) were no exception. Organizations globally opted for managed services to ensure operational efficiency amid lockdowns being implemented across various nations due to coronavirus. Organizational spending on new automation initiatives gradually slowed down during the pandemic.
For More Details or Sample Copy please visit link @: Managed Services Market Report
Managed Services Market Report Highlights
In terms of solution, the managed security segment is anticipated to register the fastest CAGR of 14.7% over the forecast period owing to the adoption of managed security services in end-use industries. This segment offers various benefits such as security monitoring & management, email threat management, restoral management & backups, and support & maintenance management, among others
In terms of managed information services, the business support systems segment is anticipated to register the fastest CAGR of 14.2% from 2023 to 2030. The increasing adoption of business support system services such as business analysis, database integration, demand management service, and project management in end-use industries is anticipated to propel the growth of the segment over the forecast period
In terms of deployment, the on-premise segment dominated the market in 2022 with a revenue share of 64.4%. Numerous organizations have adopted the on-premise mode of deployment as it does not require an internet connection and allows easy customization of software to suit the business process requirements of clients
Based on enterprise size, the small & medium enterprises (SMEs) segment is anticipated to register the fastest CAGR of 14.3% from 2023 to 2030. Increasing government initiatives through various digital SME campaigns globally is expected to drive the growth of the SME segment over the forecast period
In terms of end-use, the healthcare segment is anticipated to register the fastest CAGR of 14.7% over the forecast period. Several healthcare organizations are opting for managed services to protect patient data and secure monetary transactions, thereby contributing to the segment's growth
In terms of region, North America held the largest market share in 2022 with a revenue share of over 30%. The rising number of multinational companies (MNCs) in North America bodes well for the regional market growth
Gain deeper insights on the market and receive your free copy with TOC now @: Managed Services Market Report
We have segmented the global managed services market based on solution, managed information service (MIS), deployment, enterprise size, end use, and region.
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otcing · 11 months ago
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Mongo and the source of truth
in MongoDB, you can fix, correct, or rebuild a counter that is a summary of positive or negative integers by performing the following steps:
1. Identify the Source of Truth:
Determine the collection and the documents that should be considered for rebuilding the counter. For example, if you are maintaining a counter for the number of likes on posts, identify the collection storing the likes.
2. Aggregate the Values:
Use the MongoDB aggregation framework to sum up the positive or negative integers from the relevant documents.
3. Update the Counter:
Once you have the aggregated value, you can update your counter document or field with this value.
4. Handling Incremental Updates:
To ensure your counter remains accurate, you should increment or decrement it as changes occur. This can be done using atomic operations like $inc.
Summary:
Aggregate the values from the source documents.
Update the counter with the aggregated value.
Maintain accuracy with atomic operations on incremental updates.
By following these steps, you can ensure that your counter is always accurate and can be rebuilt whenever necessary.
The MongoDB aggregation framework, which is key to performing the aggregation operations needed to rebuild a counter, was introduced in MongoDB version 2.2, released in August 2012.
For 1 billion documents distributed across 15 shards, you can expect the aggregation process to take roughly 30 to 40 minutes, depending on the indexing, hardware, and network conditions. Running a benchmark on a smaller dataset can help refine this estimate for your specific environment.
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yourusatoday · 1 year ago
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Analysis of MarkLogic Corp Competitors
Introduction to MarkLogic Corp
MarkLogic Corp is a leading provider of data integration and database solutions, empowering organizations to manage and leverage their data effectively. As a key player in the data management industry, MarkLogic faces competition from several companies offering similar solutions. This analysis provides insights into MarkLogic's main competitors and their offerings.
Competitors of MarkLogic Corp
1. MongoDB, Inc.
MongoDB, Inc. is a prominent competitor of MarkLogic, offering a popular document-oriented NoSQL database solution. MongoDB's flexible data model and scalability make it a preferred choice for many organizations dealing with large volumes of unstructured data.
Key Features:
Document-oriented database with JSON-like documents.
Scalable architecture suitable for distributed environments.
Comprehensive query language and indexing capabilities.
2. Oracle Corporation
Oracle Corporation is a global leader in database management systems, offering a wide range of solutions, including Oracle Database. Oracle's database solutions provide robust relational database management capabilities, making them suitable for enterprise-scale applications.
Key Features:
Powerful relational database management system (RDBMS) with ACID compliance.
Advanced security features and data protection capabilities.
Support for various data types and integration with other Oracle products.
3. Microsoft Corporation
Microsoft Corporation offers SQL Server, a comprehensive relational database management system, competing with MarkLogic in the enterprise database market. SQL Server provides extensive features for data management, analytics, and business intelligence.
Key Features:
Integrated suite of data management tools for relational databases.
Advanced analytics and reporting capabilities with SQL Server Analysis Services (SSAS) and Power BI.
Seamless integration with Microsoft Azure cloud platform for scalability and flexibility.
4. Amazon Web Services, Inc. (AWS)
Amazon Web Services offers Amazon DynamoDB, a fully managed NoSQL database service, as a competitor to MarkLogic. DynamoDB is known for its scalability, high performance, and seamless integration with other AWS services.
Key Features:
Fully managed NoSQL database with automatic scaling.
Built-in security features and encryption at rest and in transit.
Integration with AWS ecosystem for seamless application development and deployment.
5. Google LLC
Google LLC provides Google Cloud Bigtable, a fully managed, scalable NoSQL database service, competing with MarkLogic in the cloud database market. Bigtable is designed for large-scale, high-throughput workloads.
Key Features:
Distributed NoSQL database for real-time analytics and data processing.
High scalability and performance for handling massive datasets.
Integration with Google Cloud Platform services for seamless application development.
Competitive Analysis
Strengths of Competitors
MongoDB: Flexible data model and scalability.
Oracle: Robust RDBMS with advanced security features.
Microsoft: Integrated suite of data management tools and cloud integration.
AWS: Fully managed NoSQL database service with seamless scalability.
Google: High scalability and performance for real-time analytics.
MarkLogic's Competitive Advantages
Advanced semantics and indexing capabilities for complex data.
Support for structured, semi-structured, and unstructured data.
Flexibility to deploy on-premises or in the cloud.
Strong focus on data security and compliance.
Conclusion
MarkLogic Corp faces competition from several key players in the database management industry, each offering unique solutions tailored to different use cases. While competitors like MongoDB, Oracle, Microsoft, AWS, and Google offer strong products, MarkLogic stands out with its advanced semantics, flexible deployment options, and robust security features. Understanding the strengths and offerings of competitors is essential for MarkLogic to continue innovating and providing value to its customers in the ever-evolving data management landscape.
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cybersecurityict · 29 days ago
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U.S. Cloud DBaaS Market Set for Explosive Growth Amid Digital Transformation Through 2032
Cloud Database And DBaaS Market was valued at USD 17.51 billion in 2023 and is expected to reach USD 77.65 billion by 2032, growing at a CAGR of 18.07% from 2024-2032. 
Cloud Database and DBaaS Market is witnessing accelerated growth as organizations prioritize scalability, flexibility, and real-time data access. With the surge in digital transformation, U.S.-based enterprises across industries—from fintech to healthcare—are shifting from traditional databases to cloud-native solutions that offer seamless performance and cost efficiency.
U.S. Cloud Database & DBaaS Market Sees Robust Growth Amid Surge in Enterprise Cloud Adoption
U.S. Cloud Database And DBaaS Market was valued at USD 4.80 billion in 2023 and is expected to reach USD 21.00 billion by 2032, growing at a CAGR of 17.82% from 2024-2032. 
Cloud Database and DBaaS Market continues to evolve with strong momentum in the USA, driven by increasing demand for managed services, reduced infrastructure costs, and the rise of multi-cloud environments. As data volumes expand and applications require high availability, cloud database platforms are emerging as strategic assets for modern enterprises.
Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/6586 
Market Keyplayers:
Google LLC (Cloud SQL, BigQuery)
Nutanix (Era, Nutanix Database Service)
Oracle Corporation (Autonomous Database, Exadata Cloud Service)
IBM Corporation (Db2 on Cloud, Cloudant)
SAP SE (HANA Cloud, Data Intelligence)
Amazon Web Services, Inc. (RDS, Aurora)
Alibaba Cloud (ApsaraDB for RDS, ApsaraDB for MongoDB)
MongoDB, Inc. (Atlas, Enterprise Advanced)
Microsoft Corporation (Azure SQL Database, Cosmos DB)
Teradata (VantageCloud, ClearScape Analytics)
Ninox (Cloud Database, App Builder)
DataStax (Astra DB, Enterprise)
EnterpriseDB Corporation (Postgres Cloud Database, BigAnimal)
Rackspace Technology, Inc. (Managed Database Services, Cloud Databases for MySQL)
DigitalOcean, Inc. (Managed Databases, App Platform)
IDEMIA (IDway Cloud Services, Digital Identity Platform)
NEC Corporation (Cloud IaaS, the WISE Data Platform)
Thales Group (CipherTrust Cloud Key Manager, Data Protection on Demand)
Market Analysis
The Cloud Database and DBaaS (Database-as-a-Service) Market is being fueled by a growing need for on-demand data processing and real-time analytics. Organizations are seeking solutions that provide minimal maintenance, automatic scaling, and built-in security. U.S. companies, in particular, are leading adoption due to strong cloud infrastructure, high data dependency, and an agile tech landscape.
Public cloud providers like AWS, Microsoft Azure, and Google Cloud dominate the market, while niche players continue to innovate in areas such as serverless databases and AI-optimized storage. The integration of DBaaS with data lakes, containerized environments, and AI/ML pipelines is redefining the future of enterprise database management.
Market Trends
Increased adoption of multi-cloud and hybrid database architectures
Growth in AI-integrated database services for predictive analytics
Surge in serverless DBaaS models for agile development
Expansion of NoSQL and NewSQL databases to support unstructured data
Data sovereignty and compliance shaping platform features
Automated backup, disaster recovery, and failover features gaining popularity
Growing reliance on DBaaS for mobile and IoT application support
Market Scope
The market scope extends beyond traditional data storage, positioning cloud databases and DBaaS as critical enablers of digital agility. Businesses are embracing these solutions not just for infrastructure efficiency, but for innovation acceleration.
Scalable and elastic infrastructure for dynamic workloads
Fully managed services reducing operational complexity
Integration-ready with modern DevOps and CI/CD pipelines
Real-time analytics and data visualization capabilities
Seamless migration support from legacy systems
Security-first design with end-to-end encryption
Forecast Outlook
The Cloud Database and DBaaS Market is expected to grow substantially as U.S. businesses increasingly seek cloud-native ecosystems that deliver both performance and adaptability. With a sharp focus on automation, real-time access, and AI-readiness, the market is transforming into a core element of enterprise IT strategy. Providers that offer interoperability, data resilience, and compliance alignment will stand out as leaders in this rapidly advancing space.
Access Complete Report: https://www.snsinsider.com/reports/cloud-database-and-dbaas-market-6586 
Conclusion
The future of data is cloud-powered, and the Cloud Database and DBaaS Market is at the forefront of this transformation. As American enterprises accelerate their digital journeys, the demand for intelligent, secure, and scalable database services continues to rise.
Related Reports:
Analyze U.S. market demand for advanced cloud security solutions
Explore trends shaping the Cloud Data Security Market in the U.S
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fmarkets · 1 year ago
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Mongodb'Inc''Surges'Ahead'with'Remarkable'Revenue'Growth'in'Q''of''''' $MDB #Software and Programming #Nasdaq
Outperforming Sector Peers and Seeing a 657% Revenue Increase, Investors Have Cause for CelebrationInvestors in Mongodb Inc have reason to celebrate as the company reported a significant surge in revenue in the first quarter of 2025. The Software and Programming company saw its top-line growth increase by 22.153% to $449.86 million from the previous reporting period, outperforming its sector peers who reported an average growth of 10.99%. Despite the positive revenue growth, Mongodb Inc did experience diminishing returns with an ex
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ardhra2000 · 1 year ago
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Mongo Db developer: Everything you must know!
MongoDB was created by 10gen (now MongoDB Inc.). It was founded in 2007 by Dwight Merriman, Lindsay Lin, and Eliot Horowitz. 
It was originally written in C++ and is now written in a combination of C++, Java, and Javascript.
The MongoDB database stores data in JSON documents, which means you can store structured data in a single record, like a user or order. 
Mongo DB developers can also store unstructured data, like images or documents, and different documents in collections.
A MongoDB developer can frequently add, update, and delete data structures without wasting time between versions if they are talented. 
Modifying a relational database, however, will undoubtedly take longer.
MongoDB's dynamic schemas make it easier for developers to incorporate or modify anything within the database quickly.
Nevertheless, if you are a company or an entrepreneur looking to hire Mongo DB developers for a project, look no further—AppsRhino is the perfect fit!
With this outsourcing company, you can hire developers who work seamlessly and deliver projects on time and with superior quality on an hourly or project-by-project basis.
AppsRhino's developers are set to create only the perfect solutions for your business thanks to their agile development process and budget-friendly hiring costs.
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govindhtech · 2 years ago
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Microsoft and MongoDB Cloud Services
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Microsoft and MongoDB Alliance: Key Customer Benefits
Microsoft must remember that data fuels AI as Microsoft enter the AI era. This explains why Microsoft want Azure to be the best data destination. Customers can choose from relational, non-relational, open source, and caching databases in Azure. Microsoft also have strong partnerships with MongoDB Inc. to allow digital transformation leveraging their databases as Azure managed services.
MongoDB, a renowned data platform, makes data modeling easy for developers. Microsoft connection with MongoDB has grown over the years, culminating in a multiyear strategic partnership deal this year. Microsoft are proud of their collaboration to offer Azure a wonderful place to run MongoDB Atlas. The popularity of the MongoDB Atlas on Azure pay-as-you-go self-service has made MongoDB one of our top Azure Marketplace partners in the previous six months.
Microsoft wants to empower everyone to succeed, and their customers prefer using MongoDB to build apps. In year one of Microsoft’s strategic collaboration, Microsoft worked with MongoDB to help their customers do more with Microsoft services and MongoDB Atlas on Azure. Developers now use MongoDB Atlas in 40+ Azure areas worldwide, including Doha, Qatar, which Microsoft announced last month at Ignite. It’s not just about the data center developers need an easy way to start with MongoDB Atlas on Azure. With its code suggestions, GitHub Copilot makes it easy to build MongoDB applications on Azure. They are working together to optimize its performance utilizing MongoDB schema, among other things.
Customers are already benefiting from their strategic partnership. Their collaboration with Temenos helped their banking customers rise to historic levels. Another collaborative intelligence business, Mural, highlighted their MongoDB Atlas and Microsoft Azure experience to help clients communicate smarter.
Microsoft Ignite 2023: MongoDB
MongoDB Atlas on Azure client experience is improved by ongoing efforts. Microsoft and MongoDB announced three major integrations at Microsoft Ignite 2023 in November: Microsoft Semantic Kernel, Microsoft Fabric, and EF Core. How can customers profit from each?
Semantic Kernel, an open-source SDK, integrates OpenAI, Azure OpenAI, and Hugging Face with C# and Python. At Ignite, MongoDB revealed Semantic Kernel native support for Atlas Vector Search. Customers may integrate operational data and vectors in a single, managed platform with MongoDB Atlas Vector Search. Semantic Kernel lets customers add Atlas Vector Search to apps. This allows Atlas Vector Search to engage with retrieval-augmented generation (RAG) in large language models (LLMs), minimizing AI hallucinations and other benefits.
By uniting your teams on an AI-powered platform optimized for AI, Microsoft Fabric can transform how they work with data. Many applications use MongoDB Atlas as their operational data layer to store data from internal enterprise apps, customer-facing services, and third-party APIs across numerous channels. With interfaces for Microsoft Fabric pipelines and Dataflow Gen2, Microsoft customers can mix MongoDB Atlas data with relational data from traditional applications and unstructured data from logs, clickstreams, and more.
At Microsoft Ignite, innovative announcements made this integration seamless and straightforward for MongoDB clients. Microsoft revealed that Fabric is now broadly accessible and introduced Mirroring, a frictionless approach to integrate and manage cloud data warehouses and databases like MongoDB, in Fabric, during the first presentation. Now MongoDB customers can replicate a snapshot of their database to One Lake, which will automatically sync it in near real-time. Learn how Microsoft Fabric intelligent analytics can uncover MongoDB Atlas data value here.
Many of the millions of C# developers use Entity Framework (EF) Core, a lightweight, extensible, open source, and cross-platform data access technology. MongoDB revealed MongoDB Provider for EF Core in Public Preview. This lets EF Core developers construct C#/.NET apps with MongoDB using their preferred APIs and design patterns.
Each time, Microsoft worked with MongoDB to make it easy for developers, data engineers, and data scientists to connect MongoDB data to Microsoft services.
A year of collaboration improvement
These new integrations follow a successful year of Microsoft-MongoDB collaboration. Microsoft highlighted great developer news outside Microsoft Ignite:
August 2023 saw the general release of MongoDB for VS Code Extension. During its public preview, developers downloaded the MongoDB extension over 1 million times in VS Code, the world’s most popular IDE. This free, downloadable add on lets developers build apps and manage MongoDB data from VS Code.
MongoDB integrates with many Microsoft Intelligent Data Platform (MIDP) services, such as Azure Synapse Analytics for operational data analysis, Microsoft Purview for data security, and Power BI for data analysts to create and share dashboards using live MongoDB Atlas data.
Data Federation: Atlas Data Federation supports Azure Blob Storage in private preview on Microsoft Azure.
Microsoft have published tutorials on building server less functions with MongoDB Atlas and Azure Functions, creating MongoDB applications with Azure App Service, building Flask and MongoDB applications with Azure App Container Apps, developing IoT data hubs for smart manufacturing, and connecting MongoDB Atlas and Azure Data Studio for Azure customers.
The year has been terrific for Microsoft and MongoDB, helping enterprises of all sizes do more with their data.
Read more on Govindhtech.com
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