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.
Developers can now store, index and query vectors in PostgreSQL using pgvector, eliminating the need for a dedicated vector database. This blog deep dives into pgvector, and explains how to store text embeddings as vectors, execute similarity search, choose between indexes, and scale with distributed SQL.
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.
In this blog post, we examine how you can migrate data and schema from an existing PostgreSQL database using YugabyteDB Voyager. With a focus on data modeling for appropriate data distribution, we explore two different migration approaches: “Lift” and “Lift & Shift.”
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.
Postgres is increasingly being used for Gen AI workloads, but users have reported scalability and performance issues, data privacy challenges and high availability concerns. Before you choose a scalable, HA, vector database instead, try running distributed PostgreSQL. Read our new blog to discover when and how to use distributed PostgreSQL for Gen AI workloads.
The enhanced YugabyteDB Kubernetes Operator significantly simplifies the deployment, management, and scaling of YugabyteDB in cloud-native environments. Discover how it automates complex operations to enhance reliability and allows developers and operations teams to focus more on development and less on infrastructure management.
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.
