Data migration is more than a technical exercise; it’s a strategic initiative that enables your business to evolve. By understanding the three major migration approaches (big‑bang, phased/trickle, and hybrid), the types of migration you may undertake, and the stages involved in a migration project, you can make the right choices to ensure business success.
Scaling to billions of vectors doesn’t require new systems or trade-offs, just YugabyteDB’s distributed PostgreSQL solution delivering simplicity, performance, and developer familiarity. We have successfully benchmarked YugabyteDB’s vector index performance with the Deep1B dataset, running a staggering one billion vectors. In this blog, we explore why scalable vector indexes are essential, share the benchmark results, and highlight the advantages of unifying vector and relational data in a single store.
Online retail shopping reached a new all-time high in 2024, and records are expected to be smashed again this year. At the heart of every retail application is data. For many retailers, database modernization is essential for both survival and success. This blog examines the 2024 holiday shopping season, what we can learn from it, and how your database impacts performance and customer experiences. It also shares top strategies to deliver a successful 2025 shopping experience.
Discover how you can integrate YugabyteDB’s Retail Analytics sample dataset with an MCP server (Google’s MCP Toolbox for Databases). We demonstrate how to define simple SQL tools using tools.yaml and illustrate how an Agent Development Kit (ADK) agent can discover and utilize these tools. All necessary files and a minimal ADK Python agent are provided, ready for you to copy, paste, and run locally!
Thanks to the pgvector PostgreSQL extension, YugabyteDB functions as a highly performant vector database. Its scalability allows it to store and search billions of vectors. This blog starts by detailing why a vector database is essential to agentic AI and how YugabyteDB meets key requirements for global organizations, including data sovereignty and zero-downtime. In the second part, we demonstrate how you can easily leverage this technology to provide AI with your organization’s information using n8n, a no-code orchestration tool.
If you’re planning to attend KubeCon, you won’t want to miss Distributed SQL Summit (DSS) Day Atlanta – a one-day deep dive into the future of distributed databases, cloud-native applications, and AI-driven data! This blog shares why DSS 2025 is our most exciting event yet, and why you should register to discover the progress and possibilities of using distributed SQL for building and deploying advanced AI applications.
Discover how you can get started contributing to YugabyteDB and related ecosystem projects (such as the Debezium connector). This blog covers contribution guidelines, coding standards, legal requirements, community resources, a quick-start workflow, common pitfalls, and a visual guide to the process.
This blog examines the increasing challenges of fraud in today’s UPI and digital payments ecosystem, highlights the key risks faced by banks and fintechs, and explains how Retrieval-Augmented Generation can provide valuable context from past cases and policies. Discover the benefits of multi-agent collaboration using YugabyteDB Vector’s A2A (Agent-to-Agent) Orchestration, which involves specialized agents working together to deliver smarter, real-time fraud detection.
Real-time data is no longer a luxury but a necessity, and businesses require immediate insights and dynamic applications. To support these demands, we’re thrilled to introduce the YugabyteDB Source Connector for Confluent Cloud, designed to seamlessly stream CDC events directly from your YugabyteDB database to the Confluent data streaming platform. This blog unlocks the configuration required to get you up and running with a CDC pipeline fast.
Generative AI is transforming how we build and operate data‑driven applications. Whether you are a developer eager to embed semantic search into your app, a business leader exploring AI‑powered analytics, or a DBA looking to automate routine tasks, the right database foundation is critical. This new guide will help you choose the best GenAI option for your database needs.
