Chroma vs Qdrant

Chroma9.4Visit Qdrant9.3Visit

Higher score Chroma #1 in Vector Database Hosting 9.4/10 Free plan Free plan✓ 2 of 3 features Visit Chroma

vs

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

• Chroma fits best

  Open-source hybrid retrieval teams

• Qdrant fits best

  Open-source vector search at scale

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature	Chroma 9.4/10 Visit ↗	Qdrant 9.3/10 Visit ↗
At a glance
Editor score	9.4	9.3
Ranking	#1 in Vector Database Hosting	#2 in Vector Database Hosting
Best for	Open-source hybrid retrieval teams	Open-source vector search at scale
Pricing model	Free plan + paid	Free plan + paid
Starting price	$250/mo	—
Free plan	✓	✓
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web, Windows, macOS, Linux, iOS, Android	Web, Windows, macOS, Linux
Support	Email, Community, Docs	Email, Tickets, Community, Docs
Compliance	SOC 2	SOC 2, HIPAA, GDPR
Built for	Solo, Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Chroma 2/3 · Qdrant 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	4096 dimensions	65535 dimensions (best)
Our review
Pros	Combines dense, sparse, hybrid, full-text, regex, and metadata search Supports self-hosting, Chroma Cloud, and local persistent storage Integrates with OpenAI, Cohere, Hugging Face, and other AI tools	Supports dense, sparse, hybrid, and multivector retrieval Offers self-hosted and managed cloud deployment Includes REST, gRPC, and multiple language SDKs
Cons	Chroma Cloud combines plan fees with usage-based charges Enterprise pricing is custom rather than publicly listed Broader search features may exceed the needs of simple vector workloads	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
Our verdict	Chroma is an open-source database and search infrastructure for AI applications. It stores documents, embeddings, and metadata, with support for dense similarity search, sparse search using BM25 or SPLADE, hybrid ranking, full-text search,… Read the review →	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 →

Strengths and trade-offs

• Chroma — where it wins

  • Combines dense, sparse, hybrid, full-text, regex, and metadata search
  • Supports self-hosting, Chroma Cloud, and local persistent storage
  • Integrates with OpenAI, Cohere, Hugging Face, and other AI tools

  Where it doesn't

  • Chroma Cloud combines plan fees with usage-based charges
  • Enterprise pricing is custom rather than publicly listed
  • Broader search features may exceed the needs of simple vector workloads

• 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

• Chroma9.4/10 · Free plan

  A flexible vector database for hybrid retrieval, multimodal search, and self-hosted AI applications.

  Visit ChromaFull verdict →
• Qdrant9.3/10 · Free plan

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

  Visit QdrantFull verdict →