Chroma vs turbopuffer
Two sides of the vector database decision: embedded / local-first and managed vector store. When each fits, what it costs, who moves from one to the other, and what makers who chose it say.
Which fits you
- You're prototyping retrieval on your laptop, or want vectors in files with no server
Use it whenYou're still figuring out whether retrieval works for your use case.
Trade-offFor production you either run its server yourself or move to Chroma Cloud.
- You want a hosted index with nothing to operate
Use it whenYou have many separate namespaces, such as one index per customer.
Trade-offNo free tier (paid plans have a monthly minimum), and it's cloud-only.
At a glance
| Used by | 13 makers' products · 69 open-source projects | 8 makers' products · 7 open-source projects |
|---|---|---|
| Cost at default usagevectors stored 1 million vectors, queries 1 million queries, vectors written or updated 500k writes | $51/mo Starter | $21/mo Launch |
| Downloads | 236.5k/wk−12% vs npm | 1.1M/wk3.9× vs npm |
| Pricing | Free and open source to self-host (Apache-2.0); Chroma Cloud is usage-based with free starting credits. · paid from Usage-based | Usage-based tiers with a monthly minimum; higher tiers add SSO, audit logs, and enterprise/BYOC deployments. · paid from $16/mo minimum usage |
| Free tier | Yes | No |
| Open source | Yes · self-hostable | No |
| Incidents, 90 daysfrom its status page | no public status feed | 4 (4 major) |
Cost as you grow
At 100k vectors Chroma costs less ($1.32 vs $17); from about 1M vectors turbopuffer does ($21 vs $51). They're different kinds of tool — embedded / local-first and managed vector store — so the prices don't buy the same thing.
The numbers, plan by plan
| Vectors stored (1,536 dimensions, about 6 GB per million) | Chroma | turbopuffer |
|---|---|---|
| 0.1 | $1.32 Starter | $17 Launch |
| 0.5 | $15 Starter | $19 Launch |
| 1 | $51 Starter | $21 Launch |
| 5 | $1,093 Starter | $179 Launch |
| 10 | $4,281 Starter | $430 Launch |
| 50 | $105,226 Starter | $3,173 Launch |
| 100 | $419,999 Starter | $7,576 Scale |
From each vendor's pricing page: Chroma, turbopuffer.
What makers say
Makers on using it for vector database, from Product Hunt and Starter Story interviews, each linked to the source. Products with a page of their own and fuller notes first.
Chroma makes it super easy to manage embeddings for AI apps. We love the open-source focus and how quickly it integrates into RAG pipelines.
Jeff (the founder) is incredible - super knowledgeable and I'm super bullish on the direction of the product. Let's go!
Powered memory storage with a dead-simple, blazing-fast open-source vector DB. Far easier to self-host than alternatives.
No maker quote about turbopuffer for vector database yet.
Loved and watch-outs
Themes that recur in makers' words and Hacker News comments, each linked to what it summarises.
- Open source and easy to self-host, with a simple API that gets embeddings stored quickly. PHHN
- Full-text and regex search sit alongside vector search, and collection forking suits changing code. trychroma.comHNHN 2HN 3
- Plugs quickly into RAG pipelines and local-first tools built on LangChain or Ollama. PHHNHN 2HN 3
- Storing vectors on object storage with a cache in front keeps large-scale search cheap. HNHN 2HN 3turbopuffer.com
- Handles hundreds of millions to billions of documents, a common next step when pgvector runs out. turbopuffer.comturbopuffer.com 2turbopuffer.com 3HN
- Operationally simple, with BM25, attribute filtering, recall tuning and consistency options built in. HNHN 2HN 3HN 4

