Database High Availability has traditionally been achieved through enhanced and automated disaster recovery solutions. Although these measures reduce the impact of failures, they still result in complete downtime for the application during the failover process. In this blog, we compare this approach with cloud-native solutions for high availability, focusing on resiliency built directly into the database.
Having different names for our YugabyteDB DBaaS deployment options has led to some confusion. To make it clear that these are two deployment options of one core product we’ve unified the product name – YugabyteDB Aeon! In this blog, we share the benefits of YugabyteDB Aeon and detail how to choose the best deployment option for your use case.
Optimizing SQL indexing involves carefully considering the column order, understanding index scan ranges, and leveraging the index scan capabilities of your database to ensure efficient query performance. Discover how you can do this effectively by following the steps laid out in this new ‘How to’ guide.
Discover how a top bank used the YugabyteDB xCluster Playbook to evaluate and adopt xCluster, and achieve business continuity for critical applications. By following the Playbook, organizations can expedite and harden their evaluation process for YugabyteDB xCluster, and gain a clear understanding of whether it meets their specific needs.
Achieve disaster recovery for cloud-native PostgreSQL deployments using YugabyteDB in Microsoft Azure. Discover how you can leverage YugabyteDB’s xCluster disaster recovery (DR) feature to maintain high availability and ensure data integrity. Use the active-active single-master configuration to achieve disaster recovery across two regions.
In this blog, we examine how to create a fully autonomous AI travel agent, capable of finding listings and managing bookings using LangChain, OpenAI, PostgreSQL and pgvector, with YugabyteDB as the underlying database. Learn how to build your own AI agent backed by PostgreSQL using components available in today’s ecosystem.
Discover why YugabyteDB is moving beyond PostgreSQL 11 and the challenges and solutions involved in upgrading to PostgreSQL 15 (and beyond). Learn how our engineering team is bringing the most popular PostgreSQL features to YugabyteDB, to deliver a reliable, scalable, highly available, and secure distributed SQL database.
In 2024, data management will be significantly impacted by AI advancements, increasing DBaaS adoption, and a shift towards private cloud usage. AI will enhance IT strategies and database performance, while DBaaS offers operational efficiency and private clouds provide cost-effective solutions for steady-state workloads.
At the 5th annual Distributed SQL Summit, Yugabyte CTO, Karthik Ranganathan unveiled product enhancements for YugabyteDB, supercharging PostgreSQL performance and addressing its traditional weak points with innovative features in YugabyteDB 2.19 and Voyager 1.5.
YugabyteDB uses LSM Tree / SST Files to minimize the risk of data corruption, in contrast to PostgreSQL’s method. This approach, coupled with independent compactions and checksum verification, enhances data integrity.
