ClickHouse vs Exasol
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
ClickHouse is the stronger AI pick in Data Warehouse: it has a visibility score of 16.5 versus 2 for Exasol, and ranks ahead in 100% of the answers that name both.
Choose ClickHouse if…
- You want the brand AI engines rank higher (16.5 vs 2)
- AI answers describe it more positively (58% vs 0% positive)
- You need HIPAA or PCI coverage
- You prefer a larger, established vendor (501–1,000 employees)
Choose Exasol if…
- You need ISO/IEC 27001:2022 coverage
AI visibility side by side
Latest weekly run · Nov 3
| Metric | ClickHouse | Exasol |
|---|---|---|
| Visibility score | 16.5% | 2% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #8 | #22 |
| Share of voice | 5.4% | 0.5% |
| Mentions this run | 30 | 3 |
| Positive in AI answers | 58% | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
ClickHouse 0pp · Exasol 0pp over 0 weekly runs.
Engine by engine
ClickHouse leads on 3 of 3 engines
Head to head in AI answers
2 engine answers name both brands
| Prompt | Engine | ClickHouse | Exasol |
|---|---|---|---|
| What features matter most in a data warehouse? | Perplexity | #1 | #2 |
| Official website of the top data warehouse vendors | ChatGPT | #12 | #13 |
Features, pricing & fit
| Dimension | ClickHouse | Exasol |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | $0.218 / mo | — |
| Free plan | No · 30-day trial | — |
| Deployment | ClickHouse Cloud on AWS, GCP and Azure, self-managed open-source installs, and Bring Your Own Cloud within the customer's own VPC. | On-premises, hybrid and cloud |
| Integrations | 100+ | — |
| Compliance | HIPAA, PCI | ISO/IEC 27001:2022 |
| Support | Expert support with 1 business day response time on Basic, Expert support with 1 hour response time on Scale, Enterprise support with 30 min response time for Severity 1 issues, Named Lead Support Engineer on Enterprise | — |
| Founded | 2009 | 2000 |
| Headquarters | Palo Alto, CA, United States | Nürnberg, Germany |
| Employees | 501–1,000 | 201–500 |
| Funding | Series D, led by Dragoneer | Series A · $86M raised |
| Best for | Developers and data teams that need real-time queries on large datasets at an affordable cost, including teams adding a speed layer on top of an existing data warehouse or OLTP database. | 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 |
Plans side by side
ClickHouse
Exasol
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
ClickHouse
- fast real-time analytics
- high-concurrency analytics performance
- strong for observability and log analytics
- $300 credits and 30-day trial
- best raw performance-to-cost ratio
- self-hosting requires scaling and maintenance work
- efficient operation at very large scale needs specialized expertise
- specialist option rather than broad enterprise warehouse replacement
Exasol
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “ClickHouse vs Exasol”, https://slateindex.ai/compare/clickhouse-vs-exasol, data of Nov 3, 2026. Licence: CC BY 4.0.