Qdrant

Strong

by Qdrant Solutions · founded 2021 · updated Sep 2026

Qdrant is a high-performance, Rust-based vector database known for speed, aggressive quantization options and a generous free tier. Popular with performance-sensitive teams and self-hosters who want simple APIs and low resource footprints.

Vector DatabasesOpen SourceEstablishedFrom Free (self-hosted) / Cloud free 1GB tier
81.9TIP Score
Strong

The score, taken apart

Fixed weights, sources attached, the formula

Cap 81Val 89Sec 78Int 82Mat 78Mom 83
Capability(30%)81
Value for Money(15%)89
Security & Compliance(15%)78
Integrations & Ecosystem(15%)82
Maturity & Reliability(10%)78
Momentum(15%)83

Best for

  • Performance-critical vector search
  • Budget-conscious startups
  • Self-hosted deployments

Key integrations

LangChainLlamaIndexFastEmbedKubernetes/HelmgRPC & REST APIs

Strengths

  • Excellent performance-per-dollar; Rust core with low memory footprint
  • Advanced quantization (binary, scalar, product) cuts costs dramatically
  • Simple, well-documented API loved by developers
  • Production use at Tripadvisor, HubSpot, OpenTable, Bazaarvoice and Bosch

Limitations

  • Smaller managed-cloud track record than Pinecone
  • Fewer built-in embedding integrations than Weaviate modules
  • Enterprise features newer than incumbents

Evidence behind this score

Each score is built from the claims below. This is a snapshot, so check the current terms with the vendor before you commit to anything.

2 of 4 claims below are past their re-check window. Pricing, availability and security details move fast, so confirm those with the vendor.

ClaimSourceChecked
Apache-2.0 licensed with 21K+ GitHub stars· re-checkGitHub repositorySep 2025
Binary quantization delivers up to 40x memory reduction· re-checkQdrant benchmarksFeb 2025
1GB free cloud cluster with no credit card; standard Cloud tiers run $30-200/mo on hourly billing, Premium adds 99.9% SLA and SSO, Hybrid Cloud is custom-pricedQdrant pricing pageSep 2026
Raised a $50M Series B on March 12, 2026, led by AVP with Bosch Ventures, Unusual Ventures, Spark Capital and 42CAP participating, to build out composable, agent-native vector searchQdrant company blog; TechTargetSep 2026

Intelligence on Qdrant

Fundingmedium impactSep 16, 2026

Qdrant closes $50M Series B to push vector search into agent-native territory

Qdrant raised a $50 million Series B led by AVP, with Bosch Ventures, Unusual Ventures, Spark Capital and 42CAP joining, to build what it calls composable, agent-native vector search — retrieval built for agents to query autonomously rather than a human writing the search. The round follows production wins at Tripadvisor, HubSpot, OpenTable, Bazaarvoice and Bosch. It's a smaller number than the checks flowing to frontier labs, but a sign vector infrastructure is still raising well as retrieval remains the backbone under most production RAG and agent systems.

QdrantQdrant company blog; TechTarget
Fundingmedium impactNov 20, 2025

Vector database market bifurcates: managed convenience vs. open performance

Funding and adoption data show Pinecone consolidating compliance-sensitive enterprise workloads while Qdrant and Weaviate grow fastest among self-hosting startups. Choose by ops capacity, not hype.

PineconeQdrantWeaviateAI TIP market analysis

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Pinecone Systems

82.9Excellent

Fully managed serverless vector database for production AI search.

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Weaviate B.V.

81.5Strong

Open-source AI-native database with hybrid search and modular vectorizers.

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From Free (self-hosted) / Cloud from $45 per month (Flex)