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MongoDB Vector SearchcloudFree M0 cluster (512MB)
pgvectorself-hostedFree (open-source PostgreSQL extension)
Hybrid Search
Metadata Filtering
Multi Tenancy
Managed Embeddings
Mcp Server
Serverless
Pricing
Free M0 cluster (512MB)$57+/mo M10 dedicatedSearch Nodes billed separatelyCustom Enterprise
Free (open-source PostgreSQL extension)Available on managed Postgres: Supabase, Neon, RDS, Cloud SQL, Crunchy Bridge
Open Source
Self-Hosted
SDK Languages
pythonjavascripttypescriptgojavacsharprubyphprust
pythonjavascripttypescriptgojavarubyrustcsharpphp
Frameworks
langchainllamaindexvercel-aihaystack
langchainllamaindexvercel-aihaystack
Compliance
soc2hipaagdprpci-dssiso27001
soc2hipaagdprpci-dss
Best For
Teams already on MongoDB who want vector search next to operational data — one driver, one query language, one backup story
Teams already running Postgres who want vector search without adding a new database — ACID, joins, and one operational story
Limitations
Vector indexes are tied to Atlas (not self-hosted Community Server); search nodes add cost; index build times can be long for large collections
Slower at scale than purpose-built engines; no native multi-tenancy primitives beyond schemas; hybrid search and serverless depend on the host platform (Supabase, Neon, etc.), not pgvector itself
Supported Not supported Unverified