Qdrant vs turbopuffer

Qdrant9.3Visit turbopuffer8.6Visit

Higher score Qdrant #2 in Vector Database Hosting 9.3/10 Free plan Free plan✓ 2 of 3 features Visit Qdrant

vs

turbopuffer #8 in Vector Database Hosting 8.6/10 Paid ✓ 2 of 3 features Visit turbopuffer

• Qdrant fits best

  Open-source vector search at scale

• turbopuffer fits best

  High-scale managed vector workloads

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Side by side

Feature	Qdrant 9.3/10 Visit ↗	turbopuffer 8.6/10 Visit ↗
At a glance
Editor score	9.3	8.6
Ranking	#2 in Vector Database Hosting	#8 in Vector Database Hosting
Best for	Open-source vector search at scale	High-scale managed vector workloads
Pricing model	Free plan + paid	Paid
Starting price	—	$16/mo
Free plan	✓ (best)	—
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web, Windows, macOS, Linux	Web
Support	Email, Tickets, Community, Docs	Email, Community, Docs · 24/7
Compliance	SOC 2, HIPAA, GDPR	SOC 2, GDPR, HIPAA, SSO/SAML
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Qdrant 2/3 · turbopuffer 2/3
Hybrid search	✓	✓
Metadata filtering	✓	✓
Serverless scaling	Not checked yet	Not checked yet
Specs
Included storage	Not checked yet	Not checked yet
Deployment regions	Not checked yet	Not checked yet
Maximum dimensions	65535 dimensions (best)	10752 dimensions
Our review
Pros	Supports dense, sparse, hybrid, and multivector retrieval Offers self-hosted and managed cloud deployment Includes REST, gRPC, and multiple language SDKs	Combines dense, sparse, BM25, and hybrid search Supports exact filtered kNN and metadata filtering Offers branching, sharding, embedding, and BYOC deployment
Cons	The Free Tier is limited to a single-node cluster Free resources are limited to 0.5 vCPU, 1 GB RAM, and 4 GB disk SSO and private VPC links are reserved for the Premium Tier	There is no free plan Launch uses a $16 monthly minimum usage commitment Enterprise pricing starts at >=$4,096/month plus a 35% usage premium
Our verdict	Qdrant is an open-source vector search engine and vector database for developers building semantic search, recommendations, retrieval-augmented generation, and other AI applications. It stores dense, sparse, and multivector representations… Read the review →	turbopuffer is a hosted search database for AI applications, semantic search, recommendations, and other retrieval workloads. It combines dense and sparse vector search with full-text BM25 search, metadata filtering, branching, and… Read the review →

Strengths and trade-offs

• Qdrant — where it wins

  • Supports dense, sparse, hybrid, and multivector retrieval
  • Offers self-hosted and managed cloud deployment
  • Includes REST, gRPC, and multiple language SDKs

  Where it doesn't

  • The Free Tier is limited to a single-node cluster
  • Free resources are limited to 0.5 vCPU, 1 GB RAM, and 4 GB disk
  • SSO and private VPC links are reserved for the Premium Tier

• turbopuffer — where it wins

  • Combines dense, sparse, BM25, and hybrid search
  • Supports exact filtered kNN and metadata filtering
  • Offers branching, sharding, embedding, and BYOC deployment

  Where it doesn't

  • There is no free plan
  • Launch uses a $16 monthly minimum usage commitment
  • Enterprise pricing starts at >=$4,096/month plus a 35% usage premium

• Qdrant9.3/10 · Free plan

  A flexible vector database for semantic, hybrid, and filtered search at scale.

  Visit QdrantFull verdict →
• turbopuffer8.6/10 · Paid

  A broad managed search database for high-scale AI retrieval workloads.

  Visit turbopufferFull verdict →