Databricks vs Exasol
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 2 for Exasol, 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 2)
- AI answers describe it more positively (35% vs 0% positive)
- 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)
Choose Exasol if…
- You need ISO/IEC 27001:2022 coverage
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | Exasol |
|---|---|---|
| Visibility score | 37.9% | 2% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #4 | #22 |
| Share of voice | 9.3% | 0.5% |
| Mentions this run | 52 | 3 |
| 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 · Exasol 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 | Exasol |
|---|---|---|---|
| What should a data warehouse integrate with? | Perplexity | #3 | #4 |
| Official website of the top data warehouse vendors | ChatGPT | #2 | #13 |
Features, pricing & fit
| Dimension | Databricks | Exasol |
|---|---|---|
| Deployment | Available across all major cloud providers | On-premises, hybrid and cloud |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | ISO/IEC 27001:2022 |
| Support | Technical support on request, Technical documentation | — |
| Founded | 2013 | 2000 |
| Headquarters | San Francisco, CA | Nürnberg, Germany |
| Employees | 5,000+ | 201–500 |
| Funding | Round at $60B valuation, including secondary sale | Series A · $86M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Enterprises and data teams, including CTOs, heads of data and analytics, data engineers and data scientists, that need fast high-concurrency analytics and AI workloads on-premises, hybrid or in the cloud |
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
Exasol
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Exasol”, https://slateindex.ai/compare/databricks-vs-exasol, data of Nov 3, 2026. Licence: CC BY 4.0.