#graph databases

[goodoldbandit]

Data Unbound: Embracing NoSQL & NewSQL for the Real-Time Era.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in Explore how NoSQL and NewSQL databases revolutionize data management by handling unstructured data, supporting distributed architectures, and enabling real-time analytics. In today’s digital-first landscape, businesses and institutions are under mounting pressure to process massive volumes of data with greater speed,…

[iwebscrapingblogs]

Graph databases help in robust data scraping and efficiently optimize your data management. Click here to learn more about it in detail.

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[benravioli]

Does anyone know any good ways to store information for a language dictionary? I want to be able to access it offline and unfortunately the scale is a bit too big for my beloved JSON to make much sense so that rules out most of what I know lol

[cybersecurityict]

Graph Database Market Size, Share, Analysis, Forecast & Growth 2032: Investment Trends and Funding Landscape

The Graph Database Market size was valued at US$ 2.8 billion in 2023 and is expected to reach US$ 15.94 billion in 2032 with a growing CAGR of 21.32 % over the forecast period 2024-2032.

Graph Database Market is rapidly transforming the data management landscape by offering a highly efficient way to handle complex, connected data. With the ever-growing need for real-time insights and deep relationship mapping, businesses across sectors such as healthcare, finance, telecom, and retail are increasingly adopting graph databases to drive smarter, faster decision-making.

Graph Database Market is gaining strong momentum as organizations shift from traditional relational databases to graph-based structures to address modern data challenges. The rising importance of AI, machine learning, and big data analytics is fueling the need for more flexible, scalable, and intuitive data systems—an area where graph databases excel due to their ability to uncover intricate patterns and connections with low latency and high performance.

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Market Keyplayers:

Oracle Corporation

Ontotext

Orient DB

Hewlett Packard Enterprise

Microsoft Corporation

Teradata Corporation

Stardog Union Inc.

Amazon Web Services, Inc.

Objectivity Inc.

MangoDB

TIBCO Software

Franz Inc.

TigerGraph Inc.

DataStax

IBM Corporation

Blazegraph

Openlink Software

MarkLogic Corporation

Market Analysis

The evolution of data complexity has made traditional relational databases insufficient for many modern applications. Graph databases, by storing data as nodes and edges, simplify complex relationships and enable dynamic querying across connected datasets. This makes them particularly valuable for fraud detection, recommendation engines, knowledge graphs, social network analysis, and enterprise data management.

Graph database technology is being integrated with cloud platforms and advanced analytics solutions, further expanding its appeal. Startups and tech giants alike are investing in graph-based innovations, driving ecosystem growth and enhancing capabilities. Moreover, open-source projects and graph query languages like Cypher and Gremlin are contributing to the market’s technical maturity and adoption.

Market Trends

Rising adoption in fraud detection and cybersecurity analytics

Increased demand for real-time recommendation systems

Integration with AI and machine learning for advanced pattern recognition

Emergence of hybrid and multi-model database systems

Expansion of graph capabilities in cloud-native environments

Growing use of knowledge graphs in enterprise search and NLP

Surge in funding and acquisitions among graph database vendors

Adoption in government and public sector for intelligence operations

Market Scope

The graph database market encompasses a wide array of industries where connected data is critical. From telecommunications optimizing network infrastructures to healthcare improving patient outcomes through connected health records, the applications are diverse and expanding. As digital transformation accelerates, the need for intuitive, flexible data platforms is pushing enterprises to explore graph database technologies. Vendors are offering customized solutions for SMEs and large-scale deployments alike, with support for multiple data models and integration capabilities.

In addition to industry adoption, the market scope is defined by advancements in technology that allow for greater scalability, security, and usability. Developers are increasingly favoring graph databases for projects that involve hierarchical or network-based data. Education around graph data models and improvements in visualization tools are making these systems more accessible to non-technical users, broadening the market reach.

Market Forecast

The graph database market is poised for substantial long-term growth, driven by escalating demands for real-time data processing and intelligent data linkage. As organizations prioritize digital innovation, the role of graph databases will become even more central in enabling insights from interconnected data. Continuous developments in artificial intelligence, cloud computing, and big data ecosystems will further amplify market opportunities. Future adoption is expected to flourish not just in North America and Europe, but also in emerging economies where digital infrastructure is rapidly maturing.

Investments in R&D, increasing partnerships among technology providers, and the emergence of specialized use cases in sectors such as legal tech, logistics, and social media analysis are indicators of a thriving market. As businesses seek to gain competitive advantages through smarter data management, the adoption of graph databases is set to surge, ushering in a new era of contextual intelligence and connectivity.

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Conclusion

In an age where understanding relationships between data points is more critical than ever, graph databases are redefining how businesses store, query, and derive value from data. Their ability to model and navigate complex interdependencies offers a strategic edge in a data-saturated world. As innovation accelerates and digital ecosystems become increasingly interconnected, the graph database market is not just growing—it is reshaping the very foundation of data-driven decision-making. Organizations that recognize and embrace this shift early will be best positioned to lead in tomorrow’s connected economy.

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SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

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Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[simple-logic]

#QuizTime

What stores data in tables?

A) SQL 🗄️

B) NoSQL 📂

C) Graph 📊

D) Blockchain 🔗

Comments your answer below👇

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[differenttimemachinecrusade]

Graph Database Market Dynamics, Trends, and Growth Factors 2032

The Graph Database Market size was valued at US$ 2.8 billion in 2023 and is expected to reach US$ 15.94 billion in 2032 with a growing CAGR of 21.32 % over the forecast period 2024-2032

Graph Database Market is experiencing exponential growth due to the rising need for handling complex and interconnected data. Businesses across various industries are leveraging graph databases to enhance data relationships, improve decision-making, and gain deeper insights. The adoption of AI, machine learning, and real-time analytics is further driving demand for graph-based data management solutions.

Graph Database Market continues to evolve as organizations seek efficient ways to manage highly connected data structures. Unlike traditional relational databases, graph databases provide superior performance in handling relationships between data points. The surge in big data, social media analytics, fraud detection, and recommendation engines is fueling widespread adoption across industries such as finance, healthcare, e-commerce, and telecommunications.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3615 

Market Keyplayers:

Oracle Corporation

Ontotext

Orient DB

Hewlett Packard Enterprise

Microsoft Corporation

Teradata Corporation

Stardog Union Inc.

Amazon Web Services

Market Trends Driving Growth

1. Rising Demand for AI and Machine Learning Integration

Graph databases play a crucial role in AI and machine learning by enabling more accurate predictions, knowledge graphs, and advanced data analytics. Businesses are integrating graph technology to enhance recommendation systems, cybersecurity, and fraud prevention.

2. Increased Adoption in Fraud Detection and Risk Management

Financial institutions and e-commerce platforms are utilizing graph databases to detect fraudulent transactions in real time. By mapping and analyzing relationships between entities, these databases can uncover hidden patterns that indicate suspicious activities.

3. Growth of Personalized Recommendation Engines

Tech giants like Amazon, Netflix, and Spotify rely on graph databases to power their recommendation engines. By analyzing user behavior and interconnections, companies can deliver highly personalized experiences that enhance customer satisfaction.

4. Expansion in Healthcare and Life Sciences

Graph databases are revolutionizing healthcare by mapping patient records, drug interactions, and genomic data. Researchers and healthcare providers can leverage these databases to improve diagnostics, drug discovery, and personalized medicine.

5. Surge in Knowledge Graph Applications

Enterprises are increasingly using knowledge graphs to organize and retrieve vast amounts of unstructured data. This trend is particularly beneficial for search engines, virtual assistants, and enterprise data management systems.

Enquiry of This Report: https://www.snsinsider.com/enquiry/3615 

Market Segmentation:

By Component

Software

Services

By Deployment

Cloud

On-Premise

By Type

Relational (SQL)

Non-Relational (NoSQL)

By Application

Identity and Access Management

Customer Analytics

Recommendation Engine

Master Data Management

Privacy and Risk Compliance

Fraud Detection and Risk Management

Others

By Analysis Type

Community Analysis

Connectivity Analysis

Centrality Analysis

Path Analysis

Market Analysis and Growth Projections

The shift towards real-time data analytics and the increasing complexity of enterprise data management are key growth drivers. Leading database providers such as Neo4j, Amazon Neptune, and TigerGraph are investing in scalable and high-performance solutions to cater to growing demand.

Key industries driving adoption include:

Banking and Finance: Graph databases enhance fraud detection, risk analysis, and regulatory compliance.

Healthcare and Biotech: Used for genomic sequencing, drug discovery, and personalized treatment plans.

Retail and E-commerce: Enhancing customer engagement through personalized recommendations.

Cybersecurity: Detecting anomalies and cyber threats through advanced network analysis.

Despite its rapid growth, the market faces challenges such as data privacy concerns, high implementation costs, and the need for specialized skills. However, continuous advancements in cloud computing and database-as-a-service (DBaaS) solutions are helping businesses overcome these barriers.

Regional Analysis

1. North America Leading the Market

North America dominates the graph database market, driven by the presence of major tech companies, financial institutions, and government initiatives in AI and big data analytics. The U.S. and Canada are investing heavily in advanced data infrastructure.

2. Europe Experiencing Steady Growth

Europe is witnessing strong adoption, particularly in industries like healthcare, finance, and government sectors. Regulations such as GDPR are pushing organizations to adopt more efficient data management solutions.

3. Asia-Pacific Emerging as a High-Growth Region

Asia-Pacific is experiencing rapid growth due to increased digital transformation in China, India, and Japan. The rise of e-commerce, AI-driven applications, and cloud adoption are key factors driving demand.

4. Latin America and Middle East & Africa Showing Potential

Although these regions have a smaller market share, there is growing interest in graph databases for financial security, telecommunications, and government data management initiatives.

Key Factors Fueling Market Growth

Rising Complexity of Data Relationships: Traditional relational databases struggle with highly connected data structures, making graph databases the preferred solution.

Cloud-Based Deployments: The availability of cloud-native graph database solutions is making adoption easier for businesses of all sizes.

Real-Time Analytics Demand: Businesses require instant insights to improve decision-making, fraud detection, and customer interactions.

AI and IoT Expansion: The growing use of AI and Internet of Things (IoT) is creating a surge in data complexity, making graph databases essential for real-time processing.

Open-Source Innovation: Open-source graph database platforms are making technology more accessible and fostering community-driven advancements.

Future Prospects and Industry Outlook

1. Increased Adoption in Enterprise AI Solutions

As AI-driven applications continue to grow, graph databases will play a vital role in structuring and analyzing complex datasets, improving AI model accuracy.

2. Expansion of Graph Database-as-a-Service (DBaaS)

Cloud providers are offering graph databases as a service, reducing infrastructure costs and simplifying deployment for businesses.

3. Integration with Blockchain Technology

Graph databases are being explored for blockchain applications, enhancing security, transparency, and transaction analysis in decentralized systems.

4. Enhanced Cybersecurity Applications

As cyber threats evolve, graph databases will become increasingly critical in threat detection, analyzing attack patterns, and strengthening digital security frameworks.

5. Growth in Autonomous Data Management

With advancements in AI-driven automation, graph databases will play a central role in self-learning, adaptive data management solutions for enterprises.

Access Complete Report:https://www.snsinsider.com/reports/graph-database-market-3615 

Conclusion

The Graph Database Market is on a high-growth trajectory, driven by its ability to handle complex, interconnected data with speed and efficiency. As industries continue to embrace AI, big data, and cloud computing, the demand for graph databases will only accelerate. Businesses investing in graph technology will gain a competitive edge in data-driven decision-making, security, and customer experience. With ongoing innovations and increasing enterprise adoption, the market is poised for long-term expansion and transformation.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[strangeblazetrash]

Graph Database Market: How Businesses Are Transforming Data Analysis

[dhirajmarketresearch]

[jcmarchi]

Faces of MIT: Nick Jewell

New Post has been published on https://thedigitalinsider.com/faces-of-mit-nick-jewell/

Faces of MIT: Nick Jewell

Nick Jewell, associate director of club sports, intramural sports, and sport camps for MIT’s Department of Athletics, Physical Education, and Recreation (DAPER) became a recreation professional because of the impact club sports (competitive, nonvarsity athletic teams) has made on his life. His participation in club sports has allowed him to find community anywhere he travels, whether domestically or abroad. In addition to creating an environment that provides education, inspires leadership, and promotes wellness, a pillar of DAPER is developing community, which makes Jewell’s professional and personal background an asset to the department.

After graduating from Clemson University with a master’s degree in education, student affairs for college athletics, Jewell moved to Boston. Five years ago, he began his career at MIT overseeing the front desk for DAPER. Moving up the ladder, Jewell now runs a variety of programming throughout the year. Much of his job is dedicated to the execution of MIT’s intramural and club teams.

Annually, MIT fields 20 to 25 intramural sport leagues, with the majority of them competing in the fall. Seasons last between six and eight weeks each semester, and teams are available for various skill levels. Current offerings include badminton, 3v3 basketball, and volleyball. MIT’s Club Sports Program complements the Institute’s intercollegiate athletic and intramural programs. MIT students, faculty, staff, alumni (and their spouses) are encouraged to join one of 34 club teams that range from alpine skiing to wrestling. Intramural sports are intended to be casual, while club sports require players to have a higher level of skill and commitment.

Jewell credits the success of club sports to the students who run them, and lends his supervision as needed. For example, if a club team wants to participate in a tournament in New York City, student officers ask Jewell to approve their participation. After Jewell signs off, the students reserve hotels and transportation, either through the Division of Student Life or by using their allowed budget (which Jewell manages) themselves. Clubs can also fundraise for their travel and have found that the most successful method is to host a tournament on campus. While these are also largely managed by students, Jewell serves as the liaison between the club officers and facility operations to reserve spaces and troubleshoot issues that may arise. 

Jewell is also in charge of the MIT All Sports Summer Day Camp, which runs for seven weeks and offers a variety of athletic activities along with swim instruction. Each winter, he hires 50 part-time employees, including counselors, for camp. When camp registration opens, Jewell and his team input the information of 800 registered campers in their database in time for them to arrive on campus.

Always looking for innovative offerings for the community, Jewell recently attended the National Intramural-Recreational Sports Association (NIRSA) conference to learn what other university recreation departments are providing for their students. One takeaway was that arcade games are making a comeback. At the start of the pandemic, MIT students were engaging with each other by playing “Mario Kart” and other interactive video games, as it was easy to stay socially distant and compete while communicating over headsets. When students no longer needed to social distance, they continued to participate in competitive video games. With a squash court that was no longer in use, excitement from students, and newly raised funds, Jewell created MIT’s Esports Room. The room includes a PlayStation 5 and Nintendo Switch with four controllers for each, and a mini movie theater with a large projector and beanbag chairs for 15 people to sit. With the equipment in place and the space complete, Jewell’s next plan is to create e-sports tournaments. 

Jewell’s pitch about intramural and club sports is simple: join one. When he speaks at orientation for new students, he tells parents about how the offerings from DAPER will enhance their child’s experience as a student — and beyond. Jewell and his colleagues want to ensure that when graduates have a career opportunity in a new city, or if they travel somewhere where they do not speak the language, they will be able to find community through sports. 

Soundbytes

Q: What project at DAPER are you the proudest of?

Jewell: During the pandemic, I wanted to help students get outside and stay active. Because of this I created the “Simply Walk to Mordor Challenge” (from “Lord of the Rings”). Students made teams (fellowships) of up to six and added the steps they took each day into a spreadsheet. They could not only race characters Samwise Gamgee and Frodo Baggins, but they could also race other adventuring parties the distance from the Shire to Mount Doom. There was also a personal bar graph that showed students where they were in the book if they wanted to read along while they walked. It gained a lot of traction, and over 100 students participated. I was proud to get it off the ground and we got a lot of positive feedback from the students.

Q: What do you like the most about the MIT community?

Jewell: At MIT there is no such thing as a bad idea. Community members come to me with ideas that they know may not come to fruition, but that does not diminish their enthusiasm. For example, a student contacted me who wanted to start a varsity paddle ball team. I told him that starting a varsity team is tough, and we do not have any paddle ball courts. He suggested that we use one of our tennis courts to create a court for paddle ball. Eventually I had to tell him that it wasn’t going to work, but you don’t get creative, fun ideas without tossing everything against the wall and seeing what sticks. I love that students, staff, and faculty are creative enough to come up with ideas and ask, “What if we tried this?” Sometimes we can’t, but when we can it’s magic.

Q: What advice would you give to a new staff member at MIT?

Jewell: Go to all of the meetings and activities that you can and interact with people outside of your department. There is a lot happening on campus that you can participate in and a lot of interesting people to meet. If a staff member wants to play flag football with undergraduates, we encourage that! Staff members can also get a membership to the DAPER gym, and we offer a lot of different athletic events and recreation opportunities for both mental and physical health. 

[trendingreportz]

Graph Database Market - Forecast(2024 - 2030)

Overview

The Graph Database Market is forecast to reach $ 3.21 billion by 2025 growing at a CAGR of 22.6% during the forecast period 2020-2025. The Growth of Graph Database Market can be attributed to the increase in application areas of graph database, upsurge in penetration of connected data to optimize marketing performance, surge in adoption of graph database software in the healthcare sector, rise in need for better response time & accuracy to discover new data correlations etc. Rising adoption of cloud based solutions to enhance business processes will further fuel the growth of Graph Database Market. Increase in usage of virtualization in big data analytics and technological advancements in graph database are expected to create lucrative opportunities for the market during the forecast period.

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Key Takeaways

Large enterprises to boost the adoption of graph database tools as the implementation of these tools and services in large enterprises simplifies risk and compliance management tasks.

As most of the organizations has digitalized their businesses, the supply chain management application is expected to grow at the highest CAGR due to rising need for real-time, location-based insights across the entire supply chain.

Growing dependency on connected data for fraud detection across various industries including e-commerce, banking, financial services and insurance, contributes to the growth of global graph database market.

The transportation & logistic industry is expected to witness the highest CAGR in the graph database market during the forecast period, due to the rising adoption of graph database technology in this industry to compute fast, to enable localized door-to-door delivery of goods between buyers & sellers, and to scale their business to include the supply chain.

Implementation challenges and lack of technical expertise to create hurdles for the Graph Database Market.

Component Type - Segment Analysis

The software segment has been analyzed to attribute to the majority of share in the Graph Database Market during the forecast period 2020-2025 owing to the rising demand for software, as massive volume of data is continuously  generated due to which managing data using a traditional relational database infrastructure is difficult for enterprises. These organizations need to manage their data efficiently and effectively to enhance their productivity and maintain business continuity. The proliferation of data amounting to big data has forced vendors to design graph database software and help Information Technology (IT) teams simplify and manage their decision-making process. For Instance, in July 2019 Dgraph raised $11.5 million for scalable graph database solutions. Thus Graph database tools are becoming prevalent among data-sensitive organizations to cope with the ever-increasing volumes of data which is indicating opportunity for the growth of Graph Database Market.

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End-user - Segment Analysis

Among the end users, the healthcare and life sciences sector is expected to dominate the Graph Database Market with the highest CAGR of 12.48%  during the forecast period 2020-2025. Graph database software plays a key role in the healthcare and life sciences sectors for recording patient’s information and to provide this information to numerous patients or healthcare providers. Healthcare organizations and institutions are using graph database tools to improve and enhance the operational efficiency, safety, reduce costs, and improvise the quality of patient care, thus fueling its adoption in the healthcare sector. Industry regulations, such as HIPPA and HITECH, provide guidelines for healthcare data privacy and the safe transmission of electronic health data. Healthcare-focused start-ups are leveraging the graph database technology to cater to the unmet needs of customers. For instance, Zephyr Health, a health-focused start-up is leveraging graph database technology as one important component of its service offerings. Furthermore, by using graph database technology, healthcare organizations are leveraging the connections within their existing data such as connected genome or information related to patient treatments, which is opportunistic for the graph database market.

Geography - Segment Analysis

North America dominated the graph database market accounting for 42%  of shares in 2019 and this trend is expected to continue over the forecast period 2020-2025. The emergence of technology-based enterprises and industries has created the significant growth opportunities for the graph database vendors in this region as the organizations highly rely on data, which is driving the adoption of graph database tools and related technologies. Increasing number of manufacturing firms, proliferation of Internet of Things (IoT) devices, and emergence of AI will further fuel the market growth in this region. The rapid generation of data across industry verticals and the increasing investments in new technologies, such as Machine Learning (ML) is expected to propel the demand for graph database tools during the forecast period. Increasing investments by various graph database vendors in these regions will further fuel the growth of the market. For instance, in September 2019, TigerGraph a California-based software developer raised $32 million for graph database tools.

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Drivers – Smart Display Market

Real-time big data mining with visualization of results to drive the Graph Database Market.

Graph database eases the distribution of any data across data centers or cloud regions, making business applications ready to scale, and able to create real-time insights and experiences. Moreover, it helps display insights through data visualizations and provides a real-time prediction for streaming data. Hence, the graph database is used to enhance business process, improve decision-making, and achieve the ability to automate, optimize, and direct decisions as per demands to reach set business goals. The growing consensus toward graph database is the most direct path to extract business decisions from the value found in the data.

Penetration of connected data to optimize marketing performance is expected to drive the Graph database Market.

Graph databases are majorly designed for highly interconnected data. It works best when the data is connected, and should be represented by how it links or refers to other data. For instance, the application of graph database technology in social network. Moreover, for highly connected data, graph database technology provides numerous benefits as compared to other relational databases, including enhanced performance, improved flexibility, and easier data modeling, which are expected to provide lucrative opportunities for the graph database market. For instance, highly connected data can cause a lot of joins, which generally are expensive. After over seven self/recursive joins, the relational database management system slows down considerably as compared to graph databases.

Challenges – Graph Database Market.

Lack of standardization and programming ease to hamper the market growth.

While graph databases are technically NoSQL databases, in practice, they cannot be implemented across a low-cost cluster, but have to run on a single machine. This is the reason behind the rapid performance degradation across a network. Another potential drawback is that developers have to write their queries using Java as there is no Standard Query Language (SQL) to retrieve data from graph databases, which means employing expensive programmers or developers use SparcQL or one of the other query languages that have been developed to support graph databases. These challenges may hinder the Graph Database Market growth.

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Market Landscape

The Graph Database Market is dominated by major solution providers, such as IBM (US), Microsoft (US), Oracle (US), AWS (US), Neo4j (US), OrientDB (UK), TIBCO (US), Franz (US),  OpenLink Software (US), MarkLogic (US), TigerGraph (US), DataStax (US), Ontotext (Bulgaria), Stardog (US), Cray (US), ArangoDB (US), Bitnine (US), Objectivity (US), Memgraph (UK), Cambridge Semantics (US), Fluree (US), and Blazegraph (US). Investments, product launches along with partnerships are the key strategies adopted by the players in the Graph Database Market

Product Launches / Collaborations / Investments

In November 2018, Neo4j raised $80 million for next-generation graph databases to grow its developer tools and support popular use cases, particularly graph-enabled artificial intelligence (AI) and machine learning (ML) systems.

In April 2019, Neo4j and Google Cloud announced a strategic partnership that will offer the Neo4j graph database delivered as a seamless experience integrated with GCP console, billing, and support services.

In July 2019, TigerGraph Launched PartnerGraph Program to Meet Growing Demand for Graph Analytics in AI and Machine Learning. New Program Enables Partners to Leverage Leading Scalable Graph Database and Analytics Platform.

[cyberlabe]

Cas d'utilisation de l'agent IA avec bases de données

[arangodb]

Ultimate Scalable Graph Database: ArangoDB for Real-World Use Cases

Unlock the power of ArangoDB, the most complete graph database. Explore its scalability for multiple use cases including fraud detection, supply chain, network analysis, traceability, recommendations, and more. Trusted by global enterprises. Explore the advantage today!

URL: https://arangodb.com/

[simple-logic]

#PollTime What’s your favorite database type?

A) Relational 🗄️ B) NoSQL 💾 C) Graph 🌐 D) In memory ⚡

Comments your answer below👇

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🚀 Ready for your next career move? Check out our #careers page for exciting opportunities 👉 https://simplelogic-it.com/careers/

[aishavass]

Increasing demand for systems competencies of processing low latency queries, precise real-time data mining through visualization of results, along with...