Chroma vs Vespa

Chroma9.4Visit Vespa8.8Visit

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

vs

Vespa #6 in Vector Database Hosting 8.8/10 Paid ✓ 2 of 3 features Visit Vespa

• Chroma fits best

  Open-source hybrid retrieval teams

• Vespa fits best

  Feature-rich open-source search platforms

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Side by side

Feature	Chroma 9.4/10 Visit ↗	Vespa 8.8/10 Visit ↗
At a glance
Editor score	9.4	8.8
Ranking	#1 in Vector Database Hosting	#6 in Vector Database Hosting
Best for	Open-source hybrid retrieval teams	Feature-rich open-source search platforms
Pricing model	Free plan + paid	Paid
Starting price	$250/mo	$0.05/unit usage-based
Free plan	✓ (best)	—
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web, Windows, macOS, Linux, iOS, Android	Linux
Support	Email, Community, Docs	Email, Community, Docs
Built for	Solo, Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Chroma 2/3 · Vespa 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	Not checked yet
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	Combines dense, lexical, hybrid, and structured search Supports real-time updates, ranking, inference, and distributed scaling Available through Vespa Cloud or self-managed deployment
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	No free plan is available Startup uses shared resources and has no autoscaling Paid pricing is resource-based rather than a fixed monthly fee
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 →	Vespa is a distributed AI search and serving platform for teams building search, recommendation, personalization, navigation, and retrieval-augmented generation applications. It brings vector and tensor search, lexical text search with… 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

• Vespa — where it wins

  • Combines dense, lexical, hybrid, and structured search
  • Supports real-time updates, ranking, inference, and distributed scaling
  • Available through Vespa Cloud or self-managed deployment

  Where it doesn't

  • No free plan is available
  • Startup uses shared resources and has no autoscaling
  • Paid pricing is resource-based rather than a fixed monthly fee

• Chroma9.4/10 · Free plan

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

  Visit ChromaFull verdict →
• Vespa8.8/10 · Paid

  A broad open-source platform for teams building advanced search and retrieval systems.

  Visit VespaFull verdict →