Pyyan / Compare / Milvus vs pgvector vs Pinecone

Milvus vs pgvector vs Pinecone

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Vector Databases · verified 13 Aug 2026

×MilvusZillizcurrent
×pgvectorPostgreSQLcurrent
×PineconePineconecurrent
2 slots left
SpecificationMilvuspgvectorPinecone
SummaryBuilt for billions of vectors.Vectors inside the database you already run.Managed, and the smoothest to operate.
IndexHNSW, IVF, DiskANN, GPUHNSW, IVFFlatProprietary
Hybrid searchYesYes, with SQLYes
HostingSelf-host and managedSelf-host or any managed PostgresManaged only
LicenceApache 2.0PostgreSQLProprietary
p50 latency~10ms~15ms<10ms
CategoryVector DatabasesVector DatabasesVector Databases
OfficialZillizPostgreSQLPinecone

Highlighted rows are where these differ.

Milvus

  • Distributed architecture with GPU index support
  • Heavier to operate than the alternatives

Best for very large corpora.

Full spec sheet →

pgvector

  • One database for vectors, rows and joins
  • The honest default: reach for something else only when this stops working

Best for almost everyone, until scale says otherwise.

Full spec sheet →

Pinecone

  • Sub-10ms p50 with nothing to maintain
  • Costs draw scrutiny at scale; Notion moved away and cut spend ~60%

Best for teams who do not want to run a database.

Full spec sheet →