Chroma
The developer-first open-source vector database
Our Take
Chroma is the SQLite of vector databases — dead simple to start with, runs in-process, zero config. The 3-lines-of-code developer experience is unmatched. A major Rust core rewrite in 2025 delivered 4x faster performance. Built-in embedding generation via OpenAI, Cohere, and Hugging Face. ~27,000 GitHub stars, 14M+ monthly pip downloads, used in 90K+ open-source codebases. Chroma Cloud (GA) offers serverless with usage-based pricing — a 6M doc workload runs roughly $79/month. Self-hosted via Docker runs on a $5–10/month VPS. The tradeoff: HNSW-only indexing, no built-in RBAC, no horizontal scaling in OSS, and a history of breaking API changes during rapid development. $18M raised.
Pros
- + Simplest setup of any vector DB (3 lines of code)
- + Runs in-process, no server needed
- + Rust core rewrite delivers 4x faster performance
- + Built-in embedding generation
- + Massive community (27K+ stars, 14M+ pip downloads)
Cons
- - HNSW-only indexing
- - No built-in RBAC
- - No horizontal scaling in open-source
- - History of breaking API changes
- - Performance ceiling for large datasets
Details
- Pricing Model
- freemium
- Starting Price
- $0
- Self-Hosted
- Yes
- Cloud Hosted
- Yes
- Founded
- 2022
- Repository
- GitHub →
Best For
- • Rapid prototyping (3 lines of code to start)
- • Local development and testing
- • Python-native AI/LLM workflows
- • Moderate-scale workloads under 10M vectors
Integrations
Articles featuring Chroma
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