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SlateIndex
ChromaOpen-source search infrastructure for AI
vs
DatabricksUnified data, analytics and AI platform on an open lakehouse
Comparison · Vector Databases · weekly run Nov 2

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 score18.6%1.4%
Change vs last weekNewNew
Rank in Vector Databases#6#22
Share of voice6.8%0.8%
Mentions this run324
Positive in AI answers50%35%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Chroma 19%

Chroma 0pp · Databricks 0pp over 0 weekly runs.

Engine by engine

Chroma leads on 3 of 3 engines

ChatGPT
22.2%
1.9%
AI Mode
20.9%
1.3%
Perplexity
12.6%
1.1%
ChromaDatabricks

Head to head in AI answers

3 engine answers name both brands

3Chroma ranked higher
0Databricks ranked higher

Features, pricing & fit

DimensionChromaDatabricks
Pricing modelUsage-based—
Entry priceFree; paid from $250 / mo—
Free planYes—
DeploymentOpen-source self-hosted, serverless managed Chroma Cloud, or Bring Your Own Cloud in the customer's VPC.Available across all major cloud providers
ComplianceSOC 2 Type IIISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3
SupportCommunity 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 planTechnical support on request, Technical documentation
Founded20222013
HeadquartersSan Francisco, CA, United StatesSan Francisco, CA
Employees11–505,000+
FundingSeed · $18M raisedRound at $60B valuation, including secondary sale
Best forDevelopers 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

Chroma

Starter$0month + usage
Team$250month + usage
EnterpriseCustomcustom
Chroma pricing

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.