Databricks vs Dremio
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 0.6 for Dremio, and ranks ahead in 100% of the answers that name both.
Choose Databricks if…
- You want the brand AI engines rank higher (37.9 vs 0.6)
- 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
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
Choose Dremio if…
- AI answers describe it more positively (50% vs 35% positive)
- You need a self-hosted or on-premises option
- You need SOC 2 Type 2 or ISO 27001:2013 or GDPR or CCPA coverage
- keeps data in an open lakehouse without copying it into a proprietary warehouse
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | Dremio |
|---|---|---|
| Visibility score | 37.9% | 0.6% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #4 | #27 |
| Share of voice | 9.3% | 0.4% |
| Mentions this run | 52 | 2 |
| Positive in AI answers | 35% | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Dremio 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
Head to head in AI answers
2 engine answers name both brands
| Prompt | Engine | Databricks | Dremio |
|---|---|---|---|
| What are the best data warehouse tools in 2026? | Perplexity | #2 | #11 |
| Official website of the top data warehouse vendors | ChatGPT | #2 | #15 |
Features, pricing & fit
| Dimension | Databricks | Dremio |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | $0.2 / mo |
| Free plan | — | No · 30-day trial |
| Deployment | Available across all major cloud providers | Fully managed cloud service (Dremio Cloud) or self-managed software on Kubernetes, on-premises or in AWS, Azure or GCP (Dremio Enterprise). |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2 Type 2, ISO 27001:2013, GDPR, CCPA |
| Support | Technical support on request, Technical documentation | Enterprise-grade support plans, Security documentation and Trust Center, Hands-on workshops |
| Founded | 2013 | 2015 |
| Headquarters | San Francisco, CA | — |
| Employees | 5,000+ | — |
| Funding | Round at $60B valuation, including secondary sale | Series E |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Teams wanting a zero-maintenance, cloud-native experience and fast time to value (Dremio Cloud); organizations needing full control, on-prem requirements, or strict compliance constraints (Dremio Enterprise). |
Plans side by side
Databricks
Pricing not available.
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
Dremio
- keeps data in an open lakehouse without copying it into a proprietary warehouse
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Dremio”, https://slateindex.ai/compare/databricks-vs-dremio, data of Nov 3, 2026. Licence: CC BY 4.0.