Best Vector Databases Tools
Compare 8 top-rated vector databases tools. Find features, pricing, pros, cons, and alternatives.
Pinecone
Managed vector database for low-latency semantic search.
Key Features:
- •Workflow Runtime
- •Tool and API Connectivity
- •State and Context Handling
Free + Usage-based
Weaviate
Vector database with hybrid search and modular inference.
Key Features:
- •Workflow Runtime
- •Tool and API Connectivity
- •State and Context Handling
Open-source + Cloud
Chroma
Developer-first embedding database for local and cloud use.
Key Features:
- •Workflow Runtime
- •Tool and API Connectivity
- •State and Context Handling
Open-source + Cloud
Qdrant
High-performance vector DB with payload filtering and HNSW.
Key Features:
- •Workflow Runtime
- •Tool and API Connectivity
- •State and Context Handling
Open-source + Cloud
Milvus
Scalable vector database for billion-scale similarity search.
Key Features:
- •Workflow Runtime
- •Tool and API Connectivity
- •State and Context Handling
Open-source + Managed
Supabase Vector
Postgres platform with pgvector and full backend stack.
Key Features:
- •Workflow Runtime
- •Tool and API Connectivity
- •State and Context Handling
Free + Paid
pgvector
PostgreSQL extension for vector similarity search.
Key Features:
- •Workflow Runtime
- •Tool and API Connectivity
- •State and Context Handling
Open-source
Upstash Vector
Serverless vector database with REST APIs.
Key Features:
- •Workflow Runtime
- •Tool and API Connectivity
- •State and Context Handling
Usage-based
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