ClickHouse Cloud
7.9#3 in spatial databasesFrom $25.30 a monthWebAPILinuxmacOS
VisitClickHouse Cloud vs Exasol
What both publish
| Fact | ClickHouse Cloud | Exasol |
|---|---|---|
| Founded | 2021 | 2000 |
| Free plan | No | Yes |
| Headquarters | San Francisco Bay Area, California; Amsterdam, Netherlands | Nuremberg, Germany |
| Integrations | Listed ecosystem integrations include Grafana, Kafka, AWS S3, Metabase, Deepnote, dbt, Vector, MySQL, Superset, Airbyte and Tableau. | Official ecosystem documentation lists BI integrations including Power BI, Tableau, Looker, Qlik Sense, SAS, Superset, Yellowfin and Amazon QuickSight. |
| Praise: performance | G2 reviewers repeatedly praise fast query and data-fetch performance on large datasets. | G2 and TrustRadius reviewers repeatedly praise very fast query execution, strong throughput and responsive reporting on large datasets. |
| Product | ClickHouse Cloud is a fully managed service for real-time analytics, observability, and AI-powered data applications, with sub-second query performance at any scale. | Exasol describes itself as a sovereign analytics database for high-concurrency AI and analytics workloads. |
| Rating on G2 | 4.5 out of 5 from 23 reviews | 4.7 out of 5 from 28 reviews |
| Rating on Gartner Peer Insights | 4.6 out of 5 from 70 reviews | 4.8 out of 5 from 18 ratings |
| Rating on TrustRadius | 7 out of 10 from 10 reviews | 8.6 out of 10 from 4 reviews |
ClickHouse Cloud plans
- Basic$25.30 a month
- Enterprise$25.30 a month
- Scale$25.30 a month
Exasol plans
- XS$3.30 a month
- S$6.60 a month
- M$13.20 a month
- L$26.40 a month
- XL$52.80 a month
- 2XL$105.60 a month
Pick ClickHouse Cloud if…
ClickHouse Cloud suits teams building real-time analytics, observability, or AI-powered data applications. Its listed workload tiers range from testing and starter projects to production and very large or enterprise use cases.
Pick Exasol if…
Exasol SaaS is suited to organizations with multi-department analytics needs, in-database machine learning or AI workloads, or complex data integration and virtualization requirements. Its deployment options also suit teams that need on-premises or air-gapped environments.