ChromaOpen-source search infrastructure for AI
vs
turbopufferVector and full-text search built on object storage
Comparison · Vector Databases · weekly run Nov 2
Chroma vs turbopuffer
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Chroma is the stronger AI pick in Vector Databases: it has a visibility score of 18.6 versus 4.6 for turbopuffer, and ranks ahead in 63% of the answers that name both.
Choose Chroma if…
- You want the brand AI engines rank higher (18.6 vs 4.6)
- You want a free plan to start
- AI answers describe it more positively (50% vs 33% positive)
- You need a self-hosted or on-premises option
Choose turbopuffer if…
- You want a lower entry price ($16 vs $250)
- You need SOC 2 Type 2 or HIPAA (Business Associate Agreement available) or GDPR-ready DPA coverage
- serverless vector and full-text search built on object storage
- high performance at a fraction of traditional costs
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Chroma | turbopuffer |
|---|---|---|
| Visibility score | 18.6% | 4.6% |
| Change vs last week | New | New |
| Rank in Vector Databases | #6 | #14 |
| Share of voice | 6.8% | 1.9% |
| Mentions this run | 32 | 9 |
| Positive in AI answers | 50% | 33% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Chroma 0pp · turbopuffer 0pp over 0 weekly runs.
Engine by engine
Chroma leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
Chromaturbopuffer
Head to head in AI answers
8 engine answers name both brands
5Chroma ranked higher
3turbopuffer ranked higher
| Prompt | Engine | Chroma | turbopuffer |
|---|---|---|---|
| What are the best Vector Databases tools in 2026? | ChatGPT | #4 | #11 |
| What are the best Vector Databases tools in 2026? | Perplexity | #5 | #9 |
| Alternatives to the most popular vector database | AI Mode | #8 | #7 |
| Alternatives to the most popular vector database | Perplexity | #5 | #10 |
| Official website of the top vector database vendors | ChatGPT | #4 | #12 |
| Official website of the top vector database vendors | AI Mode | #6 | #2 |
| Official website of the top vector database vendors | Perplexity | #4 | #13 |
| Who makes the most used vector database? | ChatGPT | #7 | #2 |
Features, pricing & fit
| Dimension | Chroma | turbopuffer |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $250 / mo | $16 / mo |
| Free plan | Yes | No |
| Deployment | Open-source self-hosted, serverless managed Chroma Cloud, or Bring Your Own Cloud in the customer's VPC. | Multi-tenant cloud on usage-based plans; single-tenant and bring-your-own-cloud (BYOC) deployments on the enterprise plan. |
| Compliance | SOC 2 Type II | SOC 2 Type 2, HIPAA (Business Associate Agreement available), GDPR-ready DPA |
| Support | Community support through Discord and the open-source community on the Starter plan, Slack support on the Team plan, Dedicated support and customized SLAs on the Enterprise plan | Community Slack and email on all plans, Private Slack channel on higher plans, 24/7 support and 99.95% uptime SLA on enterprise |
| Founded | 2022 | 2023 |
| Headquarters | San Francisco, CA, United States | Ottawa, Ontario, Canada |
| Employees | 11–50 | 11–50 |
| Funding | Seed · $18M raised | Seed |
| Best for | Developers building retrieval-augmented generation prototypes, who get a fast start locally, and teams that later need a managed or self-hosted search system. | Teams building AI applications, semantic search or recommendation systems that need large-scale vector and full-text search at lower cost. |
Plans side by side
turbopuffer
launch$16month minimum usage
scale$256month minimum usage
enterprise$4,096month minimum usage (>= $4,096/month, 35% usage premium)
Pros and cons
Themes from the AI answers that mention each brand
Chroma
- Fast path from local notebook prototyping to serverless cloud production
- Free and open source when self-hosted
- Lightweight and developer-friendly for prototypes
- Best for local development, prototyping and MVPs
- Good for small-to-medium RAG and semantic search applications
- Not suited to high-scale production workloads
turbopuffer
- serverless vector and full-text search built on object storage
- high performance at a fraction of traditional costs
- cloud-native, cost-conscious design
- ranked among highest vendors in an industry ranking
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Chroma vs turbopuffer”, https://slateindex.ai/compare/chroma-vs-turbopuffer, data of Nov 2, 2026. Licence: CC BY 4.0.