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VecLabs vs the alternatives


Feature comparison

FeatureVecLabsPineconeQdrantWeaviate
Query engineRust HNSWProprietaryRust HNSWGo
p99 latency (1536 dims)4.7ms~30ms~18ms~48ms
Monthly cost (1M vectors)~$0.25$70$25+$25+
Client-side encryption
On-chain audit trail
Data ownershipYour walletTheir serversTheir serversTheir servers
Open source✅ MIT✅ Apache 2✅ BSD
Self-hostable
Metadata filtering📋 Planned
Hybrid search📋 Planned
Managed cloud
TypeScript SDK
Python SDK

When to choose VecLabs

Choose VecLabs if:
  • Latency matters - you need sub-5ms queries in production
  • Cost matters - you’re storing millions of vectors
  • Privacy matters - your vectors should be unreadable to the provider
  • Auditability matters - you need proof of data integrity
  • You’re building AI agents that need persistent, verifiable memory
Choose Pinecone if:
  • You need metadata filtering today (VecLabs has it planned)
  • You want a fully managed service with enterprise SLAs
  • Your team has no interest in open-source infrastructure
Choose Qdrant if:
  • You want open-source with mature metadata filtering
  • You’re self-hosting and need advanced features
  • You don’t need cryptographic proof

A note on fairness

Pinecone and competitor numbers in this comparison are estimated from public benchmarks and documentation. VecLabs numbers are measured directly - methodology and reproduction steps in benchmarks/COMPARISON.md. Reach out if you find any inaccuracies.