MariaDB has recently released MariaDB Community Server 11.8 as generally available, its yearly long-term support (LTS) ...

As many developers have come to realize, “Just use Postgres” is generally a good strategy. If and when your needs grow, you might want to swap in a larger and more performant vector database.

DataFusion and WarehousePG meant to deal with AI-related workloads, not to compete with analytics data platforms PostgreSQL ...

Lakebase is built on open-source Postgres, which benefits from a large developer community and is compatible with existing ...

PostgreSQL, the open-source relational database, has surged in popularity, surpassing MySQL as the most favoured database ...

Multiple vendors including AWS and Google use pgvector to provide vector database capabilities to PostgreSQL Timescale sees pgvector as having limitations at a larger scale, which pgvectorscale ...

Data analytics vendors have tried this before with limited success In the past few weeks, both Snowflake and Databricks ...

Since then, it has broadened its vision, aiming to transform PostgreSQL into a versatile developer platform suitable for a wide range of applications. Timescale is now focusing on the intersection of ...

is debuting the extension of its data protection platform to pgvector on PostgreSQL. With this release, Baffle expands its data protection and control capabilities to the vector database space, ...

Learn how Snowflake's planned Crunchy Data acquisition and the integration of Postgres into the AI Data Cloud could empower developers.

Are you interested in exploring AI systems and automation workflows without incurring database costs? By combining Supabase and n8n, you can create a local Retrieval-Augmented Generation (RAG ...