DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
FireboltThe open-source analytical database for engineers
Comparison · Data Warehouse · weekly run Nov 3
Databricks vs Firebolt
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 1.4 for Firebolt, and ranks ahead in 75% of the answers that name both.
Choose Databricks if…
- You want the brand AI engines rank higher (37.9 vs 1.4)
- AI answers describe it more positively (35% vs 0% positive)
- You need ISO 27017 or ISO 27701 or SOC 1 or SOC 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
Choose Firebolt if…
- You need HIPAA (BAA available) or GDPR aligned coverage
- free entry tier
- designed for embedded analytics
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | Firebolt |
|---|---|---|
| Visibility score | 37.9% | 1.4% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #4 | #23 |
| Share of voice | 9.3% | 0.7% |
| Mentions this run | 52 | 4 |
| Positive in AI answers | 35% | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Firebolt 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksFirebolt
Head to head in AI answers
4 engine answers name both brands
3Databricks ranked higher
1Firebolt ranked higher
| Prompt | Engine | Databricks | Firebolt |
|---|---|---|---|
| Alternatives to the most popular data warehouse | ChatGPT | #4 | #10 |
| Most affordable data warehouse that is still reliable | Perplexity | #7 | #6 |
| Official website of the top data warehouse vendors | ChatGPT | #2 | #14 |
| Official website of the top data warehouse vendors | Perplexity | #8 | #14 |
Features, pricing & fit
| Dimension | Databricks | Firebolt |
|---|---|---|
| Deployment | Available across all major cloud providers | Self-hosted as a binary, Docker image, Helm chart or Kubernetes operator; also available as a managed service or in the customer's own cloud (BYOC) |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2 Type II, ISO 27001, ISO 27018, HIPAA (BAA available), GDPR aligned |
| Support | Technical support on request, Technical documentation | Ask an engineer (contact request on the website) |
| Founded | 2013 | 2019 |
| Headquarters | San Francisco, CA | Palo Alto, California, US |
| Employees | 5,000+ | 51–200 |
| Funding | Round at $60B valuation, including secondary sale | Seed · $270M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Engineering teams building sub-second customer-facing analytics, AI data products and efficient ELT workloads |
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
Firebolt
- free entry tier
- designed for embedded analytics
- may be excessive for ordinary internal reporting
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Firebolt”, https://slateindex.ai/compare/databricks-vs-firebolt, data of Nov 3, 2026. Licence: CC BY 4.0.