Supabase Launches Vector Buckets For Large-Scale Vectors
Supabase has released Vector Buckets (public alpha), a new S3-compatible vector storage offering built-in similarity search and support for indexes up to 50 million vectors. The feature complements pgvector by targeting large, durable, cost-efficient vector lakes while recommending pgvector for latency-sensitive hot data. Developers can store vectors and metadata, create multiple indexes per bucket, and run nearest-neighbor queries via the dashboard or SDK.
Key Points
- 1Provides vector buckets on S3-compatible storage with built-in similarity search, 50M vectors per index
- 2Offers durable, cost-efficient storage alternative to specialized vector stores for large, cold or warm datasets
- 3Advises using pgvector for latency-sensitive hot vectors and Vector Buckets for high-volume vectors
Scoring Rationale
Official product launch delivers practical, scalable storage option; novelty is modest given existing S3 vector alternatives.
Sources
Public references used for this report.
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