Today Supabase is introducing Analytics Buckets, which you can use to store huge sets of data in Supabase Storage. Postgres is great for your app. But Postgres isn't designed for analytical workloads.
Analytics Buckets are a specialized storage type in Supabase designed for analytical workloads and built on Apache Iceberg and Amazon S3. They store data in columnar Parquet format, which is optimized for scans, aggregations, and time-series queries.
Think of them as cold storage for your data, with a query engine attached.
Your hot transactional data stays in Postgres. Your historical data and analytical workloads live in Analytics Buckets. You query both using familiar tools.
Analytics Buckets give you:
