Distributed SQL is a class of cloud-native, highly scalable, and resilient databases designed for today’s always-on, data-driven world. Download Distributed SQL Databases For Dummies (2nd Yugabyte Special Edition) today and explore how distributed SQL can help you achieve ultra-resilience, simplify operations, accelerate innovation, and future-proof your next GenAI applications.
Yugabyte has been recognized as a Sample Vendor in the Gartner® Hype Cycle for Data Management, 2025, and Hype Cycle for Cloud Computing, 2025. This recognition further validates YugabyteDB’s position at the forefront of distributed transactional databases and intercloud data management markets. Discover how ultra-resilient YugabyteDB allows organizations to run mission-critical applications with confidence across distributed environments.
As an open-source, distributed SQL database built on top of PostgreSQL, YugabyteDB is committed to maintaining deep compatibility with the PostgreSQL ecosystem. In this blog, we share our approach to aligning YugabyteDB with the latest PostgreSQL versions, the challenges we face, and our future plans to narrow the compatibility gap.
The AI app-building landscape is evolving rapidly – you’ll soon be able to quickly build robust AI applications that scale from thousands to billions of vectors using familiar PostgreSQL and powerful vector search capabilities, without architectural changes. In this blog, we examine the current and future AI landscape and share the benefits of the new and enhanced AI functionality introduced in the latest YugabyteDB release.
Discover how to build Agentic AI workflows using tools like n8n, YugabyteDB, and LangChain. By seamlessly integrating YugabyteDB’s vector embedding capabilities, OpenAI models, and n8n workflow orchestration, businesses can develop robust and scalable AI solutions that deliver real value.
As vector search becomes foundational to modern AI workloads, databases must rethink how their architecture handles high-dimensional vector data at scale. This blog reveals how YugabyteDB integrates a distributed vector indexing engine powered by USearch to deliver a fast, scalable, and resilient vector search natively with a Postgres-compatible SQL interface.
RAG architectures hold the key to moving beyond static, pre-trained models by anchoring responses in live, curated data. In this blog, we explore how YugabyteDB, can power the retrieval layer of a RAG pipeline—offering scale, resilience, and low-latency access to semantically rich data. Whether you’re building smart chatbots, enterprise search, or generative AI assistants, this setup can improve performance, operational efficiency, and cost-effective scaling.
Managing time in a cluster is a core requirement for maintaining a healthy distributed system. Discover how YugabyteDB Anywhere achieves accurate clock management by ensuring Network Time Protocol services are set up and running correctly from initial creation of the universe and throughout its lifecycle, and how constantly monitoring every node ensures clock skew stays low.
PostgreSQL upgrades have long been a challenge for engineers, resulting in overwhelming operational complexity and unavoidable downtime. Discover how YugabyteDB is rewriting the rules with an industry-first upgrade framework that delivers in-place, online, major version upgrades for PostgreSQL.
Discover this real-world optimization scenario in YugabyteDB (and PostgreSQL), where a correlated subquery is executed inefficiently due to nested loop overhead. This blog details how PostgreSQL internally handles EXISTS clauses and highlights the importance of understanding Semi Join versus SubPlan.
