BigQueryFully managed, serverless enterprise data warehouse from Google Cloud
vs
ExasolThe sovereign analytics database for high-concurrency AI and analytics workloads
Comparison · Data Warehouse · weekly run Nov 3
BigQuery vs Exasol
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
BigQuery is the stronger AI pick in Data Warehouse: it has a visibility score of 63.6 versus 2 for Exasol, and ranks ahead in 100% of the answers that name both.
Choose BigQuery if…
- You want the brand AI engines rank higher (63.6 vs 2)
- AI answers describe it more positively (41% vs 0% positive)
- You need SOC 1 or SOC 2 or SOC 3 or ISO/IEC 27001 or HIPAA or NIST 800-53 or NIST 800-171 or IRAP or GDPR or Cyber Essentials coverage
- Serverless, highly scalable data warehouse
Choose Exasol if…
- You need ISO/IEC 27001:2022 coverage
AI visibility side by side
Latest weekly run · Nov 3
| Metric | BigQuery | Exasol |
|---|---|---|
| Visibility score | 63.6% | 2% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #2 | #22 |
| Share of voice | 12% | 0.5% |
| Mentions this run | 67 | 3 |
| Positive in AI answers | 41% | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
BigQuery 0pp · Exasol 0pp over 0 weekly runs.
Engine by engine
BigQuery leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
BigQueryExasol
Head to head in AI answers
1 engine answers name both brands
1BigQuery ranked higher
0Exasol ranked higher
| Prompt | Engine | BigQuery | Exasol |
|---|---|---|---|
| Official website of the top data warehouse vendors | ChatGPT | #5 | #13 |
Features, pricing & fit
| Dimension | BigQuery | Exasol |
|---|---|---|
| Deployment | Serverless, runs only on Google Cloud | On-premises, hybrid and cloud |
| Compliance | SOC 1, SOC 2, SOC 3, ISO/IEC 27001, HIPAA, NIST 800-53, NIST 800-171, IRAP, GDPR, Cyber Essentials | ISO/IEC 27001:2022 |
| Founded | — | 2000 |
| Headquarters | — | Nürnberg, Germany |
| Employees | — | 201–500 |
| Funding | — | Series A · $86M raised |
| Best for | — | 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
BigQuery
- Serverless, highly scalable data warehouse
- Free tier suited to small teams and light workloads
- Easy to start with low operational overhead
- Built-in ML and AI capabilities
- Strong fit for Google Cloud-centric teams
- Bills are hard to predict
Exasol
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “BigQuery vs Exasol”, https://slateindex.ai/compare/bigquery-vs-exasol, data of Nov 3, 2026. Licence: CC BY 4.0.