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MyScale vs pgvector

A side-by-side comparison of MyScale and pgvector, two Vector DB tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

MyScale

Vector DB

SQL vector database built on ClickHouse — vector, full-text, and analytics in one query.

View MyScale

pgvector

Vector DB

Vector similarity search inside Postgres. The pragmatic default.

View pgvector

At a glance

Feature comparison of MyScale and pgvector
AttributeMyScalepgvector
CategoryVector DBVector DB
Pricing (differs)FREEMIUMFREE
License (differs)Open coreOpen source
Deployment (differs)HybridSelf-host
PlatformsAPIAPI
Model supportModel-agnosticModel-agnostic
Vendor (differs)MyScalepgvector community

The honest brief

MyScale

Built as a ClickHouse fork, so one SQL query can mix vector search, full-text search, and analytics—no separate vector store to keep in sync.

  • Open source (Apache-2.0), self-hostable
  • SQL joins vectors with structured data
  • Built on battle-tested ClickHouse
  • Free managed starter pod
  • Smaller community than Pinecone/Milvus
  • Open-source release cadence slowed after 2024
  • SQL-first model has a learning curve

pgvector

Keeps vectors in your existing Postgres, so you JOIN against relational data and back it all up together.

  • No new database to operate
  • JOIN embeddings with relational data
  • Free and open source
  • Works on Supabase, Neon, any managed Postgres
  • Scales worse than dedicated vector DBs
  • Tuning HNSW/IVFFlat is on you
  • No built-in hybrid search out of the box
MyScale detailspgvector detailsAll Vector DB apps