Chroma vs Databricks
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 1.4 for Databricks, and ranks ahead in 100% of the answers that name both.
Choose Chroma if…
- You want the brand AI engines rank higher (18.6 vs 1.4)
- AI answers describe it more positively (50% vs 35% positive)
- You need a self-hosted or on-premises option
- Fast path from local notebook prototyping to serverless cloud production
Choose Databricks if…
- You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Chroma | Databricks |
|---|---|---|
| Visibility score | 18.6% | 1.4% |
| Change vs last week | New | New |
| Rank in Vector Databases | #6 | #22 |
| Share of voice | 6.8% | 0.8% |
| Mentions this run | 32 | 4 |
| Positive in AI answers | 50% | 35% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Chroma 0pp · Databricks 0pp over 0 weekly runs.
Engine by engine
Chroma leads on 3 of 3 engines
Head to head in AI answers
3 engine answers name both brands
| Prompt | Engine | Chroma | Databricks |
|---|---|---|---|
| Compare the leading Vector Databases platforms | ChatGPT | #6 | #10 |
| Best vector database with AI features | Perplexity | #6 | #7 |
| Is Chroma a good vector database? | ChatGPT | #1 | #6 |
Features, pricing & fit
| Dimension | Chroma | Databricks |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | Free; paid from $250 / mo | — |
| Free plan | Yes | — |
| Deployment | Open-source self-hosted, serverless managed Chroma Cloud, or Bring Your Own Cloud in the customer's VPC. | Available across all major cloud providers |
| Compliance | SOC 2 Type II | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 |
| 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 | Technical support on request, Technical documentation |
| Founded | 2022 | 2013 |
| Headquarters | San Francisco, CA, United States | San Francisco, CA |
| Employees | 11–50 | 5,000+ |
| Funding | Seed · $18M raised | Round at $60B valuation, including secondary sale |
| 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. | Data engineering, data science, analytics and AI teams at startups and global enterprises |
Plans side by side
Databricks
Pricing not available.
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
Databricks
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
- Top customer satisfaction ratings alongside Snowflake
- Free trial and free Edition for learning
- Discounts for annual prepaid commitments
- Complex consumption-based pricing with no single fixed price
- Best only when ML, Spark, or Python skills are central to the team
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Chroma vs Databricks”, https://slateindex.ai/compare/chroma-vs-databricks, data of Nov 2, 2026. Licence: CC BY 4.0.