#postgres in cloud | Explore Tumblr posts and blogs

fromdevcom · 25 days ago

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The past 15 years have witnessed a massive change in the nature and complexity of web applications. At the same time, the data management tools for these web applications have undergone a similar change. In the current web world, it is all about cloud computing, big data and extensive users who need a scalable data management system. One of the common problems experienced by every large data web application is to manage big data efficiently. The traditional RDBM databases are insufficient in handling Big Data. On the contrary, NoSQL database is best known for handling web applications that involve Big Data. All the major websites including Google, Facebook and Yahoo use NoSQL for data management. Big Data companies like Netflix are using Cassandra (NoSQL database) for storing critical member data and other relevant information (95%). NoSQL databases are becoming popular among IT companies and one can expect questions related to NoSQL in a job interview. Here are some excellent books to learn more about NoSQL. Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement (By: Eric Redmond and Jim R. Wilson ) This book does what it is meant for and it gives basic information about seven different databases. These databases include Redis, CouchDB, HBase, Postgres, Neo4J, MongoDB and Riak. You will learn about the supporting technologies relevant to all of these databases. It explains the best use of every single database and you can choose an appropriate database according to the project. If you are looking for a database specific book, this might not be the right option for you. NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence (By: Pramod J. Sadalage and Martin Fowler ) It offers a hands-on guide for NoSQL databases and can help you start creating applications with NoSQL database. The authors have explained four different types of databases including document based, graph based, key-value based and column value database. You will get an idea of the major differences among these databases and their individual benefits. The next part of the book explains different scalability problems encountered within an application. It is certainly the best book to understand the basics of NoSQL and makes a foundation for choosing other NoSQL oriented technologies. Professional NoSQL (By: Shashank Tiwari ) This book starts well with an explanation of the benefits of NoSQL in large data applications. You will start with the basics of NoSQL databases and understand the major difference among different types of databases. The author explains important characteristics of different databases and the best-use scenario for them. You can learn about different NoSQL queries and understand them well with examples of MongoDB, CouchDB, Redis, HBase, Google App Engine Datastore and Cassandra. This book is best to get started in NoSQL with extensive practical knowledge. Getting Started with NoSQL (By: Gaurav Vaish ) If you planning to step into NoSQL databases or preparing it for an interview, this is the perfect book for you. You learn the basic concepts of NoSQL and different products using these data management systems. This book gives a clear idea about the major differentiating features of NoSQL and SQL databases. In the next few chapters, you can understand different types of NoSQL storage types including document stores, graph databases, column databases, and key-value NoSQL databases. You will even come to know about the basic differences among NoSQL products such as Neo4J, Redis, Cassandra and MongoDB. Data Access for Highly-Scalable Solutions: Using SQL, NoSQL, and Polyglot Persistence (By: John Sharp, Douglas McMurtry, Andrew Oakley, Mani Subramanian, Hanzhong Zhang ) It is an advanced level book for programmers involved in web architecture development and deals with the practical problems in complex web applications. The best part of this book is that it describes different real-life

web development problems and helps you identify the best data management system for a particular problem. You will learn best practices to combine different data management systems and get maximum output from it. Moreover, you will understand the polyglot architecture and its necessity in web applications. The present web environment requires an individual to understand complex web applications and practices to handle Big Data. If you are planning to start high-end development and get into the world of NoSQL databases, it is best to choose one of these books and learn some practical concepts about web development. All of these books are full of practical information and can help you prepare for different job interviews concerning NoSQL databases. Make sure to do the practice section and implement these concepts for a better understanding.

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sicsrpune20 · 29 days ago

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Top Reasons to Study MSc Computer Application in Pune

In today’s digital era, the demand for skilled IT professionals is rising. As businesses and services transition online, there's a growing need for experts who understand software systems, data analytics, cybersecurity, and emerging technologies. This is where a postgraduate degree like MSc Computer Application becomes a valuable asset—especially when pursued from a vibrant tech city like Pune.

So, why are more students choosing Pune for this programme? Let’s explore the top reasons why studying MSc Computer Application in Pune could be your smartest move yet.

1. Academic Excellence with Industry Relevance

Pune is home to several esteemed institutions offering high-quality technical education. MSc CA colleges in Pune are known for delivering a curriculum that blends academic depth with real-world relevance. The courses are regularly updated to keep pace with technological advancements, ensuring students are equipped with skills that employers actively seek.

2. Proximity to Major IT Hubs

One of Pune’s biggest advantages is its thriving IT ecosystem. With the presence of leading tech companies and startups, students have access to internships, live projects, and job opportunities right at their doorstep. This proximity allows for practical exposure, which enhances classroom learning and boosts employability.

3. Skill-Focused Learning Environment

MSc Computer Application programs in Pune emphasize a balanced mix of theory and application. Students get to work with programming languages, databases, software development tools, and cloud technologies—often through lab work, workshops, and collaborative projects. The emphasis is on building both conceptual understanding and hands-on capabilities.

4. Experienced Faculty and Research Opportunities

Pune attracts educators and researchers with a strong academic and industry background. This provides students with mentorship from professionals who understand both the technical and practical demands of the IT industry. For those interested in innovation, many colleges also offer opportunities for research in fields like machine learning, data science, and cybersecurity.

5. Strong Placement Support

One of the biggest reasons students prefer MSc CA colleges in Pune is the strong placement track record. Institutes in the city maintain active corporate relations and frequently host placement drives, career fairs, and industry interactions. With companies from diverse sectors recruiting in Pune, graduates enjoy access to a wide range of job profiles—from software developers to data analysts and systems administrators.

6. Holistic Development and Campus Life

Beyond academics, Pune offers a rich student experience. Most colleges promote holistic development through student clubs, tech fests, competitions, and leadership activities. This all-round exposure helps students build confidence, communication skills, and the ability to work in dynamic teams—qualities that are critical in the professional world.

7. Affordable Quality Education

Compared to many metro cities, Pune offers a relatively affordable cost of living without compromising on education quality. Students benefit from access to top-tier education and a growing tech network in a city that is budget-friendly and student-oriented.

8. Gateway to Global Careers

With the rise in global IT outsourcing and multinational firms hiring in India, an MSc Computer Application from a reputed Pune college can open doors to international job opportunities. The global curriculum design and emphasis on upskilling ensure students are competitive in both local and international job markets.

Conclusion

If you’re looking to combine quality education, strong industry exposure, and exciting career opportunities, studying MSc Computer Application in Pune is an excellent choice. The city’s academic institutions, vibrant tech community, and student-friendly atmosphere create the ideal environment for IT postgraduates to thrive.

Among the notable options, the Symbiosis Institute of Computer Studies and Research (SICSR) stands out as a preferred destination for aspiring IT professionals. With its industry-aligned curriculum, experienced faculty, and holistic learning approach, SICSR ensures students graduate with the skills and confidence needed to lead in the tech world.

#MSc Computer Application #SICSR

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souhaillaghchimdev · 1 month ago

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Using Docker in Software Development

Docker has become a vital tool in modern software development. It allows developers to package applications with all their dependencies into lightweight, portable containers. Whether you're building web applications, APIs, or microservices, Docker can simplify development, testing, and deployment.

What is Docker?

Docker is an open-source platform that enables you to build, ship, and run applications inside containers. Containers are isolated environments that contain everything your app needs—code, libraries, configuration files, and more—ensuring consistent behavior across development and production.

Why Use Docker?

Consistency: Run your app the same way in every environment.

Isolation: Avoid dependency conflicts between projects.

Portability: Docker containers work on any system that supports Docker.

Scalability: Easily scale containerized apps using orchestration tools like Kubernetes.

Faster Development: Spin up and tear down environments quickly.

Basic Docker Concepts

Image: A snapshot of a container. Think of it like a blueprint.

Container: A running instance of an image.

Dockerfile: A text file with instructions to build an image.

Volume: A persistent data storage system for containers.

Docker Hub: A cloud-based registry for storing and sharing Docker images.

Example: Dockerizing a Simple Python App

Let’s say you have a Python app called app.py: # app.py print("Hello from Docker!")

Create a Dockerfile: # Dockerfile FROM python:3.10-slim COPY app.py . CMD ["python", "app.py"]

Then build and run your Docker container: docker build -t hello-docker . docker run hello-docker

This will print Hello from Docker! in your terminal.

Popular Use Cases

Running databases (MySQL, PostgreSQL, MongoDB)

Hosting development environments

CI/CD pipelines

Deploying microservices

Local testing for APIs and apps

Essential Docker Commands

docker build -t <name> . — Build an image from a Dockerfile

docker run <image> — Run a container from an image

docker ps — List running containers

docker stop <container_id> — Stop a running container

docker exec -it <container_id> bash — Access the container shell

Docker Compose

Docker Compose allows you to run multi-container apps easily. Define all your services in a single docker-compose.yml file and launch them with one command: version: '3' services: web: build: . ports: - "5000:5000" db: image: postgres

Start everything with:docker-compose up

Best Practices

Use lightweight base images (e.g., Alpine)

Keep your Dockerfiles clean and minimal

Ignore unnecessary files with .dockerignore

Use multi-stage builds for smaller images

Regularly clean up unused images and containers

Conclusion

Docker empowers developers to work smarter, not harder. It eliminates "it works on my machine" problems and simplifies the development lifecycle. Once you start using Docker, you'll wonder how you ever lived without it!

#programming

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news365timesindia · 2 months ago

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[ad_1] EnterpriseDB (“EDB”), the leading Postgres data and AI company, is expanding its investment in India to support the country’s accelerating demand for AI-ready, sovereign data infrastructure. Kevin Dallas, CEO of EDB, recently visited company leaders in India, Japan, and Singapore, reinforcing the immense opportunities for enterprises in these regions to leapfrog legacy infrastructure, particularly in highly regulated industries such as financial services and banking. Kevin Dallas, CEO, EnterpriseDB India’s IT spending is projected to reach $160 billion in 2025, a 11.2% increase from 2024, with $4.7 billion allocated to data center systems to support AI integration. As businesses modernize, they require scalable, cost-effective data platforms that provide unified observability and support AI-powered workloads across hybrid environments. EDB Postgres AI is purpose-built for these demands, delivering a sovereign data and AI platform that enables organizations to modernize their infrastructure and comply with evolving regulations like India's Digital Personal Data Protection (DPDP) Rules. The platform gives enterprises full control over their data across on-premises, hybrid, and multi-cloud environments while powering transactional, analytical, and AI workloads. “Enterprises in India have a unique opportunity to leapfrog legacy-bound competitors in the global marketplace. The government’s investment priorities in world-class AI and data infrastructure strengthen India’s competitive position on the global stage,” said Dallas. “EDB Postgres AI provides the foundation for these enterprises to build adaptable, compliant, and AI-powered architectures engineered for real-time performance at scale.” As part of its long-term commitment to India’s digital transformation, EDB is expanding its Pune development center, where 40% of its global engineering team is driving advancements in AI-driven database innovation, real-time analytics, and enterprise observability. This investment ensures EDB’s customers and ecosystem partners in India have access to deep technical expertise and capabilities. "India’s AI-driven economy is built on data, and enterprises need the ability to manage, analyze, and act on that data while maintaining control over it. EDB’s investment ensures enterprises in India have access to the kind of sovereign, scalable infrastructure required to power AI applications without relying on external data control mechanisms," said Mohan Muthuraj, Vice President, Sonata information Technology Limited. "As businesses in India integrate AI into mission-critical systems, the demand for a database that can handle both real-time transactions and complex analytical workloads is growing exponentially. EDB Postgres AI offers enterprises the technical flexibility to run these workloads efficiently, ensuring compliance with India's data protection frameworks while unlocking AI’s full potential," said Rajendra More, Sr. Vice President, Hitachi Systems India Pvt. Ltd. EDB at PGConf India 2025 EDB will be a Diamond Sponsor at PGConf India 2025, taking place March 5–7 in Bangalore, where its experts will lead sessions on optimizing PostgreSQL performance, AI-driven data strategies, and open-source innovation. As one of the largest Postgres events in the region, PGConf India brings together developers, database administrators, and industry leaders to drive collaboration and advance the future of PostgreSQL. About EDB EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies.

EDB’s data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies. EDB delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability.For more information, visit www.enterprisedb.com. EnterpriseDB and EDB are registered trademarks of EnterpriseDB Corporation. Postgres and PostgreSQL are registered trademarks of the PostgreSQL Community Association of Canada and used with their permission. All other trademarks are owned by their respective owners. !function(f,b,e,v,n,t,s) if(f.fbq)return;n=f.fbq=function()n.callMethod? n.callMethod.apply(n,arguments):n.queue.push(arguments); if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0'; n.queue=[];t=b.createElement(e);t.async=!0; t.src=v;s=b.getElementsByTagName(e)[0]; s.parentNode.insertBefore(t,s)(window,document,'script', 'https://connect.facebook.net/en_US/fbevents.js'); fbq('init', '311356416665414'); fbq('track', 'PageView'); [ad_2] Source link

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news365times · 2 months ago

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learning-code-ficusoft · 3 months ago

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Hosting Options for Full Stack Applications: AWS, Azure, and Heroku

Introduction

When deploying a full-stack application, choosing the right hosting provider is crucial. AWS, Azure, and Heroku offer different hosting solutions tailored to various needs. This guide compares these platforms to help you decide which one is best for your project.

1. Key Considerations for Hosting

Before selecting a hosting provider, consider: ✅ Scalability — Can the platform handle growth? ✅ Ease of Deployment — How simple is it to deploy and manage apps? ✅ Cost — What is the pricing structure? ✅ Integration — Does it support your technology stack? ✅ Performance & Security — Does it offer global availability and robust security?

2. AWS (Amazon Web Services)

Overview

AWS is a cloud computing giant that offers extensive services for hosting and managing applications.

Key Hosting Services

🚀 EC2 (Elastic Compute Cloud) — Virtual servers for hosting web apps 🚀 Elastic Beanstalk — PaaS for easy deployment 🚀 AWS Lambda — Serverless computing 🚀 RDS (Relational Database Service) — Managed databases (MySQL, PostgreSQL, etc.) 🚀 S3 (Simple Storage Service) — File storage for web apps

Pros & Cons

✔️ Highly scalable and flexible ✔️ Pay-as-you-go pricing ✔️ Integration with DevOps tools ❌ Can be complex for beginners ❌ Requires manual configuration

Best For: Large-scale applications, enterprises, and DevOps teams.

3. Azure (Microsoft Azure)

Overview

Azure provides cloud services with seamless integration for Microsoft-based applications.

Key Hosting Services

🚀 Azure Virtual Machines — Virtual servers for custom setups 🚀 Azure App Service — PaaS for easy app deployment 🚀 Azure Functions — Serverless computing 🚀 Azure SQL Database — Managed database solutions 🚀 Azure Blob Storage — Cloud storage for apps

Pros & Cons

✔️ Strong integration with Microsoft tools (e.g., VS Code, .NET) ✔️ High availability with global data centers ✔️ Enterprise-grade security ❌ Can be expensive for small projects ❌ Learning curve for advanced features

Best For: Enterprise applications, .NET-based applications, and Microsoft-centric teams.

4. Heroku

Overview

Heroku is a developer-friendly PaaS that simplifies app deployment and management.

Key Hosting Features

🚀 Heroku Dynos — Containers that run applications 🚀 Heroku Postgres — Managed PostgreSQL databases 🚀 Heroku Redis — In-memory caching 🚀 Add-ons Marketplace — Extensions for monitoring, security, and more

Pros & Cons

✔️ Easy to use and deploy applications ✔️ Managed infrastructure (scaling, security, monitoring) ✔️ Free tier available for small projects ❌ Limited customization compared to AWS & Azure ❌ Can get expensive for large-scale apps

Best For: Startups, small-to-medium applications, and developers looking for quick deployment.

5. Comparison Table

FeatureAWSAzureHerokuScalabilityHighHighMediumEase of UseComplexModerateEasyPricingPay-as-you-goPay-as-you-goFixed plansBest ForLarge-scale apps, enterprisesEnterprise apps, Microsoft usersStartups, small appsDeploymentManual setup, automated pipelinesIntegrated DevOpsOne-click deploy

6. Choosing the Right Hosting Provider

✅ Choose AWS for large-scale, high-performance applications.

✅ Choose Azure for Microsoft-centric projects.

✅ Choose Heroku for quick, hassle-free deployments.

WEBSITE: https://www.ficusoft.in/full-stack-developer-course-in-chennai/

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australiajobstoday · 3 months ago

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Principal Data Engineer (DWH Data Warehouse, AWS Cloud Services, Data Ingestion, PySpark, EMR, Python and Cloud DB Redshift / Postgres)

Title: Principal Data Engineer About GlobalFoundries GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries make possible the technologies and systems that transform…

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jcmarchi · 4 months ago

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Karthik Ranganathan, Co-Founder and Co-CEO of Yugabyte – Interview Series

New Post has been published on https://thedigitalinsider.com/karthik-ranganathan-co-founder-and-co-ceo-of-yugabyte-interview-series/

Karthik Ranganathan, Co-Founder and Co-CEO of Yugabyte – Interview Series

Karthik Ranganathan is co-founder and co-CEO of Yugabyte, the company behind YugabyteDB, the open-source, high-performance distributed PostgreSQL database. Karthik is a seasoned data expert and former Facebook engineer who founded Yugabyte alongside two of his Facebook colleagues to revolutionize distributed databases.

What inspired you to co-found Yugabyte, and what gaps in the market did you see that led you to create YugabyteDB?

My co-founders, Kannan Muthukkaruppan, Mikhail Bautin, and I, founded Yugabyte in 2016. As former engineers at Meta (then called Facebook), we helped build popular databases including Apache Cassandra, HBase, and RocksDB – as well as running some of these databases as managed services for internal workloads.

We created YugabyteDB because we saw a gap in the market for cloud-native transactional databases for business-critical applications. We built YugabyteDB to cater to the needs of organizations transitioning from on-premises to cloud-native operations and combined the strengths of non-relational databases with the scalability and resilience of cloud-native architectures. While building Cassandra and HBase at Facebook (which was instrumental in addressing Facebook’s significant scaling needs), we saw the rise of microservices, containerization, high availability, geographic distribution, and Application Programming Interfaces (API). We also recognized the impact that open-source technologies have in advancing the industry.

People often think of the transactional database market as crowded. While this has traditionally been true, today Postgres has become the default API for cloud-native transactional databases. Increasingly, cloud-native databases are choosing to support the Postgres protocol, which has been ingrained into the fabric of YugabyteDB, making it the most Postgres-compatible database on the market. YugabyteDB retains the power and familiarity of PostgreSQL while evolving it to an enterprise-grade distributed database suitable for modern cloud-native applications. YugabyteDB allows enterprises to efficiently build and scale systems using familiar SQL models.

How did your experiences at Facebook influence your vision for the company?

In 2007, I was considering whether to join a small but growing company–Facebook. At the time, the site had about 30 to 40 million users. I thought it might double in size, but I couldn’t have been more wrong! During my over five years at Facebook, the user base grew to 2 billion. What attracted me to the company was its culture of innovation and boldness, encouraging people to “fail fast” to catalyze innovation.

Facebook grew so large that the technical and intellectual challenges I craved were no longer present. For many years I had aspired to start my own company and tackle problems facing the common user–this led me to co-create Yugabyte.

Our mission is to simplify cloud-native applications, focusing on three essential features crucial for modern development:

First, applications must be continuously available, ensuring uptime regardless of backups or failures, especially when running on commodity hardware in the cloud.

Second, the ability to scale on demand is crucial, allowing developers to build and release quickly without the delay of ordering hardware.

Third, with numerous data centers now easily accessible, replicating data across regions becomes vital for reliability and performance.

These three elements empower developers by providing the agility and freedom they need to innovate, without being constrained by infrastructure limitations.

Could you share the journey from Yugabyte’s inception in 2016 to its current status as a leader in distributed SQL databases? What were some key milestones?

At Facebook, I often talked with developers who needed specific features, like secondary indexes on SQL databases or occasional multi-node transactions. Unfortunately, the answer was usually “no,” because existing systems weren’t designed for those requirements.

Today, we are experiencing a shift towards cloud-native transactional applications that need to address scale and availability. Traditional databases simply can’t meet these needs. Modern businesses require relational databases that operate in the cloud and offer the three essential features: high availability, scalability, and geographic distribution, while still supporting SQL capabilities. These are the pillars on which we built YugabyteDB and the database challenges we’re focused on solving.

In February 2016, the founders began developing YugabyteDB, a global-scale distributed SQL database designed for cloud-native transactional applications. In July 2019, we made an unprecedented announcement and released our previously commercial features as open source. This reaffirmed our commitment to open-source principles and officially launched YugabyteDB as a fully open-source relational database management system (RDBMS) under an Apache 2.0 license.

The latest version of YugabyteDB (unveiled in September) features enhanced Postgres compatibility. It includes an Adaptive Cost-Based Optimizer (CBO) that optimizes query plans for large-scale, multi-region applications, and Smart Data Distribution that automatically determines whether to store tables together for lower latency, or to shard and distribute data for greater scalability. These enhancements allow developers to run their PostgreSQL applications on YugabyteDB efficiently and scale without the need for trade-offs or complex migrations.

YugabyteDB is known for its compatibility with PostgreSQL and its Cassandra-inspired API. How does this multi-API approach benefit developers and enterprises?

YugabyteDB’s multi-API approach benefits developers and enterprises by combining the strengths of a high-performance SQL database with the flexibility needed for global, internet-scale applications.

It supports scale-out RDBMS and high-volume Online Transaction Processing (OLTP) workloads, while maintaining low query latency and exceptional resilience. Compatibility with PostgreSQL allows for seamless lift-and-shift modernization of existing Postgres applications, requiring minimal changes.

In the latest version of the distributed database platform, released in September 2024, features like the Adaptive CBO and Smart Data Distribution enhance performance by optimizing query plans and automatically managing data placement. This allows developers to achieve low latency and high scalability without compromise, making YugabyteDB ideal for rapidly growing, cloud-native applications that require reliable data management.

AI is increasingly being integrated into database systems. How is Yugabyte leveraging AI to enhance the performance, scalability, and security of its SQL systems?

We are leveraging AI to enhance our distributed SQL database by addressing performance and migration challenges. Our upcoming Performance Copilot, an enhancement to our Performance Advisor, will simplify troubleshooting by analyzing query patterns, detecting anomalies, and providing real-time recommendations to troubleshoot database performance issues.

We are also integrating AI into YugabyteDB Voyager, our database migration tool that simplifies migrations from PostgreSQL, MySQL, Oracle, and other cloud databases to YugabyteDB. We aim to streamline transitions from legacy systems by automating schema conversion, SQL translation, and data transformation, with proactive compatibility checks. These innovations focus on making YugabyteDB smarter, more efficient, and easier for modern, distributed applications to use.

What are the key advantages of using an open-source SQL system like YugabyteDB in cloud-native applications compared to traditional proprietary databases?

Transparency, flexibility, and robust community support are key advantages when using an open-source SQL system like YugabyteDB in cloud-native applications. When we launched YugabyteDB, we recognized the skepticism surrounding open-source models. We engaged with users, who expressed a strong preference for a fully open database to trust with their critical data.

We initially ran on an open-core model, but rapidly realized it needed to be a completely open solution. Developers increasingly turn to PostgreSQL as a logical Oracle alternative, but PostgreSQL was not built for dynamic cloud platforms. YugabyteDB fills this gap by supporting PostgreSQL’s feature depth for modern cloud infrastructures. By being 100% open source, we remove roadblocks to adoption.

This makes us very attractive to developers building business-critical applications and to operations engineers running them on cloud-native platforms. Our focus is on creating a database that is not only open, but also easy to use and compatible with PostgreSQL, which remains a developer favorite due to its mature feature set and powerful extensions.

The demand for scalable and adaptable SQL solutions is growing. What trends are you observing in the enterprise database market, and how is Yugabyte positioned to meet these demands?

Larger scale in enterprise databases often leads to increased failure rates, especially as organizations deal with expanded footprints and higher data volumes. Key trends shaping the database landscape include the adoption of DBaaS, and a shift back from public cloud to private cloud environments. Additionally, the integration of generative AI brings opportunities and challenges, requiring automation and performance optimization to manage the growing data load.

Organizations are increasingly turning to DBaaS to streamline operations, despite initial concerns about control and security. This approach improves efficiency across various infrastructures, while the focus on private cloud solutions helps businesses reduce costs and enhance scalability for their workloads.

YugabyteDB addresses these evolving demands by combining the strengths of relational databases with the scalability of cloud-native architectures. Features like Smart Data Distribution and an Adaptive CBO, enhance performance and support a large number of database objects. This makes it a competitive choice for running a wide range of applications.

Furthermore, YugabyteDB allows enterprises to migrate their PostgreSQL applications while maintaining similar performance levels, crucial for modern workloads. Our commitment to open-source development encourages community involvement and provides flexibility for customers who want to avoid vendor lock-in.

With the rise of edge computing and IoT, how does YugabyteDB address the challenges posed by these technologies, particularly regarding data distribution and latency?

YugabyteDB’s distributed SQL architecture is designed to meet the challenges posed by the rise of edge computing and IoT by providing a scalable and resilient data layer that can operate seamlessly in both cloud and edge contexts. Its ability to automatically shard and replicate data ensures efficient distribution, enabling quick access and real-time processing. This minimizes latency, allowing applications to respond swiftly to user interactions and data changes.

By offering the flexibility to adapt configurations based on specific application requirements, YugabyteDB ensures that enterprises can effectively manage their data needs as they evolve in an increasingly decentralized landscape.

As Co-CEO, how do you balance the dual roles of leading technological innovation and managing company growth?

Our company aims to simplify cloud-native applications, compelling me to stay on top of technology trends, such as generative AI and context switches. Following innovation demands curiosity, a desire to make an impact, and a commitment to continuous learning.

Balancing technological innovation and company growth is fundamentally about scaling–whether it’s scaling systems or scaling impact. In distributed databases, we focus on building technologies that scale performance, handle massive workloads, and ensure high availability across a global infrastructure. Similarly, scaling Yugabyte means growing our customer base, enhancing community engagement, and expanding our ecosystem–while maintaining operational excellence.

All this requires a disciplined approach to performance and efficiency.

Technically, we optimize query execution, reduce latency, and improve system throughput; organizationally, we streamline processes, scale teams, and enhance cross-functional collaboration. In both cases, success comes from empowering teams with the right tools, insights, and processes to make smart, data-driven decisions.

How do you see the role of distributed SQL databases evolving in the next 5-10 years, particularly in the context of AI and machine learning?

In the next few years, distributed SQL databases will evolve to handle complex data analysis, enabling users to make predictions and detect anomalies with minimal technical expertise. There is an immense amount of database specialization in the context of AI and machine learning, but that is not sustainable. Databases will need to evolve to meet the demands of AI. This is why we’re iterating and enhancing capabilities on top of pgvector, ensuring developers can use Yugabyte for their AI database needs.

Additionally, we can expect an ongoing commitment to open source in AI development. Five years ago, we made YugabyteDB fully open source under the Apache 2.0 license, reinforcing our dedication to an open-source framework and proactively building our open-source community.

Thank you for all of your detailed responses, readers who wish to learn more should visit YugabyteDB.

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