Fully managed vector database with zero operational overhead, excellent developer experience, and seamless scaling from prototype to billions of vectors.
PricingFree tier (100K vectors), then $70/mo Starter
Best forTeams wanting managed simplicity at any scale
High-performance vector search engine written in Rust. Offers both cloud-managed and self-hosted options with excellent filtering and payload support.
PricingFree tier (1GB), then $25/mo cloud; open-source self-hosted
Best forPerformance-sensitive workloads with complex filtering needs
Open-source vector database with built-in hybrid search combining vector and keyword matching. Strong module ecosystem for vectorization and ML integration.
PricingFree sandbox, then $25/mo Serverless; open-source self-hosted
Best forHybrid search use cases and teams wanting built-in vectorization
PostgreSQL extension adding vector similarity search to your existing Postgres database. Supports IVFFlat and HNSW indexes with zero additional infrastructure.
PricingFree (open-source PostgreSQL extension)
Best forTeams already on PostgreSQL with under 5M vectors
Developer-friendly, open-source embedding database designed for rapid prototyping. Simple Python API with in-memory and persistent storage modes.
PricingFree (open-source)
Best forPrototyping, local development, and small-scale projects