DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
StarburstStop moving data. Start using it.
Comparison · Data Warehouse · weekly run Nov 3
Databricks vs Starburst
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Databricks is the stronger AI pick in Data Warehouse: it has a visibility score of 37.9 versus 0 for Starburst.
Choose Databricks if…
- You want the brand AI engines rank higher (37.9 vs 0)
- You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
- Lakehouse architecture combining data warehousing with data lake flexibility
Choose Starburst if…
- You need a self-hosted or on-premises option
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | Starburst |
|---|---|---|
| Visibility score | 37.9% | 0% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #4 | #38 |
| Share of voice | 9.3% | 0% |
| Mentions this run | 52 | 0 |
| Positive in AI answers | 35% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Starburst 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksStarburst
Head to head in AI answers
0 engine answers name both brands
0Databricks ranked higher
0Starburst ranked higher
Features, pricing & fit
| Dimension | Databricks | Starburst |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $0.5 / mo |
| Free plan | — | Yes |
| Deployment | Available across all major cloud providers | Managed cloud (Starburst Galaxy) and self-managed (Starburst Enterprise), across cloud, hybrid and on-premises |
| Integrations | — | 50+ |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | — |
| Support | Technical support on request, Technical documentation | 24/7 support, Elite support and ticketing on the Mission-Critical plan |
| Founded | 2013 | 2017 |
| Headquarters | San Francisco, CA | Boston, Massachusetts, US |
| Employees | 5,000+ | 501–1,000 |
| Funding | Round at $60B valuation, including secondary sale | Series C · $414M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Large enterprises and regulated organizations that need governed SQL access to data spread across clouds and on-premises systems without migrating it. |
Plans side by side
Databricks
Pricing not available.
Starburst
Free$0forever
Pro$0.5per credit
Enterprise$0.75per credit
Mission-Critical$1per credit
Pros and cons
Themes from the AI answers that mention each brand
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
Starburst
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Starburst”, https://slateindex.ai/compare/databricks-vs-starburst, data of Nov 3, 2026. Licence: CC BY 4.0.