The Distributed SQL Blog

Yugabyte Named in Gartner® Hype Cycle™ For Data Management, 2025 and Hype Cycle for Cloud Computing, 2025

Yugabyte Named in Gartner® Hype Cycle™ For Data Management, 2025 and Hype Cycle for Cloud Computing, 2025

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.

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Agentic AI Operational Efficiency: Achieving Smarter Observability with YugabyteDB Performance Advisor

Agentic AI Operational Efficiency: Achieving Smarter Observability with YugabyteDB Performance Advisor

YugabyteDB Aeon recently introduced Performance Advisor, a powerful new tool that brings intelligent observability directly into your distributed Postgres-compatible database. From real-time load charts to anomaly detection and query-level diagnostics, Performance Advisor allows tech teams to solve performance issues faster and spend more time building their applications. Read this blog to discover the latest YugabyteDB Performance Advisor features.

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What is a Vector Database? A Beginner’s Guide

What is a Vector Database? A Beginner’s Guide

Modern organizations use a variety of databases to manage information. As AI and machine learning models continue to grow in popularity, a new category has emerged: vector databases. This blog provides a clear definition of vector databases and answers key questions about how they work, how they differ from regular databases, and when you should use them for your AI and ML projects.

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From RAG to Riches: AI That Knows Your Support Stack 

From RAG to Riches: AI That Knows Your Support Stack 

In this post, we walk through how to build a RAG pipeline using YugabyteDB’s new vector capabilities to enable smarter and more context-aware support automation. Discover how to ingest internal documents, vectorize them, store them efficiently in YugabyteDB, and finally how to use an LLM like GPT-4 to answer internal questions—rooted in your own support stack data.

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Introducing New YugabyteDB Functionality for Ultra-Resilient AI Apps

Introducing New YugabyteDB Functionality for Ultra-Resilient AI Apps

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.

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Rewind, Clone, and Time-Travel with YugabyteDB

Rewind, Clone, and Time-Travel with YugabyteDB

Imagine a database that allows you to recover that critical row you deleted in production, and lets you test schema changes on real data without risking the original. Discover how YugabyteDB’s point-in-time capabilities, including point-in-time recovery, instant database cloning, and time travel queries, make it easy to rewind your data, spin up lightweight clones, and explore historical states with precision.

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