Supabase Analytics Buckets with Iceberg Support

Supabase is introducing Analytics Buckets, a new feature designed to enhance analytical capabilities using Apache Iceberg, an open table format for large-scale analytics on object storage. Unlike standard Supabase Storage buckets, Analytics Buckets allow users to query and manage data through the Supabase Iceberg Wrapper, which presents Iceberg tables via a SQL interface, making analytical data an integral part of a Supabase project. Currently in private alpha, this feature supports two analytics buckets per project, with up to five namespaces per bucket and ten tables per namespace. The initiative aims to provide seamless integration for writing, storing, and querying analytical data, with future enhancements planned for SQL catalog support and deeper Studio integration for schema inspection and time travel queries. The roadmap includes developing Supabase ETL for direct writing from Postgres into Iceberg-backed buckets, which will complete the "write → store → query" workflow within Supabase, positioning it as a comprehensive HTAP backend solution.