Decision finder result — NoSQL & Vector Databases Personalized recommendation

Compare Pinecone, Weaviate, and Qdrant

At 1-10M vectors, all three perform well. Pinecone for zero-ops, Weaviate for hybrid search, Qdrant for cost control with self-hosting.

How this works: Based on common constraint patterns, we match you to the operating model and products that typically fit. Verify against your specific requirements.
  • Recommendation: Pinecone, Weaviate, Qdrant
See all NoSQL & Vector Databases products
Compare Pinecone, Weaviate, and Qdrant

Recommended starting points

Based on your constraints, these products typically fit best. Read each decision brief to confirm pricing behavior and limits match your reality.

Recommended

Pinecone

Purpose-built managed vector database for similarity search and AI/ML embeddings. Free tier with 1 index; Standard pricing at $0.096/GB storage plus $8 per million read units.

Recommended

Weaviate

Open-source vector database with built-in ML model integration, hybrid search (vector + keyword), and GraphQL API. Cloud managed from $25/mo sandbox. Weaviate combines vector search with traditional k

Recommended

Qdrant

Open-source vector similarity search engine written in Rust with high performance, filtering support, and a managed cloud option. Free cloud tier (1GB); Starter from $9/mo.

Why this recommendation

At 1-10M vectors, all three perform well. Pinecone for zero-ops, Weaviate for hybrid search, Qdrant for cost control with self-hosting.

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