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.
Integrating YugabyteDB with Azure AI Search combines the strengths of a distributed SQL database with scalable document search capabilities, delivering an effective solution for data-intensive applications. Discover how this integration enables efficient data management, operational reporting, and real-time search-driven workflows.
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.
Yugabyte’s next-generation agentic AI application, Performance Advisor for YugabyteDB Aeon, uses AI-first observability to deliver an agentic architecture and enable automated anomaly detection and optimization.
YugabyteDB’s new extensible indexing framework is designed to support the seamless integration of state-of-the-art vector indexing libraries and algorithms, augmenting the capabilities offered by pgvector.
Integrating YugabyteDB and ClickHouse creates a powerful, unified data architecture that optimizes performance, scalability, and real-time analytics. YugabyteDB ensures transactional consistency and high availability for OLTP workloads, while ClickHouse delivers lightning-fast analytical processing for OLAP workloads.
Discover how integrating YugabyteDB and ClickHouse creates a modern, hybrid data architecture that leverages the best of both transactional and analytical worlds.
YugabyteDB Voyager’s new assessment feature offers insights into two crucial areas: migration complexity and sizing and sharding guidance. This allows users to effectively plan migrations and avoid potential issues. This new blog post provides a technical deep dive into these two key areas.
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.
New Agentic AI for YugabyteDB Metadata brings the power of natural language processing to your database management workflow. This blog examines how Agentic AI for YugabyteDB Metadata transforms how organizations interact with their distributed SQL database by providing intelligent, real-time insights through natural language queries.
YugabyteDB stores important user and customer data for an organization on their systems. This means that encryption in transit is a common requirement for client-to-server communication. This blog explores new encryption in transit knobs available in Yugabyte 2.25 and compares them to the equivalent knobs from previous releases.
The pg_cron extension serves as a building block for many important PostgreSQL extensions, and enables you to seamlessly schedule automated jobs to monitor and maintain your databases. This blog takes an in-depth look at the pg_cron extension and examines how it works in YugabyteDB.
