We aim to prove YugabyteDB’s enhanced Postgres compatibility by migrating 100 popular open source Postgres applications to YugabyteDB! Discover how you can get involved in the Postgres App Century Challenge.
Cockroach Lab’s decision to move away from open source has reignited the debate on the long-term viability of open source projects, and how companies can find success with this business model. Discover why Yugabyte co-founder Karthik Ranganathan believes that open source (and PostgreSQL) is the future, and the reasons why YugabyteDB is (and will continue to be) fully open.
Geo-partitioning with YugabyteDB (versus standing up separate PostgreSQL instances per region) is the ideal solution for use cases that require cross-region data access, faster time to market, and easy deployment management.
Read this blog to discover the pitfalls of standing up separate PostgreSQL instances per region and the advantages of using geo-partitioning in YugabyteDB.
Large language models (LLMs) have evolved beyond generating text responses to interpreting text prompts. Discover how you can use a multimodal LLM to search your AI applications with PostgreSQL pgvector. This blog examines the architecture, database schema, and code required to build an application that searches recipes by both text and image.
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.
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.
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.”
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.
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.
