Details
- Supabase and AWS revealed three major storage innovations at AWS re:Invent 2025: Supabase Analytics Buckets, Supabase Vector Buckets, and Supabase ETL, all integrated with S3.
- Analytics Buckets use Apache Iceberg and S3 Tables to support large-scale analytical workloads, while Vector Buckets enable AI-powered features such as semantic search and personalization.
- The Supabase ETL feature allows seamless one-click migration of data from Postgres databases to analytics tools, streamlining data workflows for developers.
- Supabase now serves over 5 million developers and has launched more than 10 million databases worldwide, operating in 17 AWS regions using Graviton processors for enhanced performance.
- Supabase’s storage solutions help startups and enterprises efficiently manage transactional, analytical, and AI-driven workloads from a unified Postgres interface, with notable users including Lovable, Figma Make, and Bolt.
Impact
This rollout strengthens Supabase’s position as a comprehensive platform for modern developers, catering to rapid prototyping and large-scale production alike. By seamlessly bridging Postgres and S3 with integrated analytics and vector storage, Supabase intensifies competition with Firebase, PlanetScale, and specialized vector database providers. Its AWS-optimized tools are likely to accelerate adoption among startups focused on AI-driven applications.
