Implementing CDC using Spring Boot, Debezium’s embedded engine, and YugabyteDB offers a compelling strategy for real-time data synchronization without the complexities of a dedicated middleware. Discover why this embedded approach is ideal for scenarios that require simplicity, low latency, and reduced operational complexity.
The growth of online sports betting brings new opportunities, but also highlights technical limitations in many platform architectures—especially at the database layer. Discover the key challenges sportsbook providers face today and explore how modern database infrastructure can provide a critical competitive edge.
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.
CloudNativePG makes it easy to get started with PostgreSQL on Kubernetes, but is constrained by the inherent limitations of PostgreSQL’s monolithic architecture. This blog explores how each database approaches high availability, scalability, and cloud-native architecture, and details why a truly distributed architecture matters in modern application development.
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.
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.
