Databricks launched Lakebase, a managed Postgres database for AI-driven applications, highlighting Postgres' community-built extensions and popularity over MySQL.
Lakebase targets the $100 billion operational database market, offering low latency, high concurrency, and integration with AI use cases.
Lakebase syncs with lakehouse tables, supports AI model serving, and provides tools integration for the AI era.
Built on open-source Postgres, Lakebase includes features like copy-on-write clones for agent-based development and supports usage-based pricing.
Databricks separates compute and storage layers in Lakebase, ensuring single-digit millisecond latency for customers.
Neon's architecture in Lakebase is geared towards AI-generated software, enabling safe, disposable environments for AI agents.
Industry experts view Lakebase as an advanced OLTP system that removes operational burdens from customers.
Snowflake's Postgres acquisition and integration with Snowflake AI Data Cloud is in response to market demand for Postgres compatibility and advanced transactional solutions.
Both Databricks and Snowflake are focusing on integrating Postgres to meet AI, real-time data, and growing business needs.
Enterprises are exploring Postgres-based solutions like Lakebase for applications in retail, healthcare, and AI-driven experiences.