ClickHouse Cloud
7.9#3 in spatial databasesFrom $25.30 a monthWebAPILinuxmacOS
VisitClickHouse Cloud vs SedonaDB
What both publish
| Fact | ClickHouse Cloud | SedonaDB |
|---|---|---|
| Architecture | The service separates storage and compute, scales compute independently and can scale unused compute to zero. | Its architecture uses columnar in-memory datasets, spatial indexing, CRS tracking, and Arrow format. |
| Founded | 2021 | 2025 |
| Integrations | Listed ecosystem integrations include Grafana, Kafka, AWS S3, Metabase, Deepnote, dbt, Vector, MySQL, Superset, Airbyte and Tableau. | The project describes interoperability with PyArrow-compatible libraries including GeoPandas, DuckDB, and Polars. |
| Intended workloads | The pricing page describes Basic for testing and starter projects, Scale for production and data at scale, and Enterprise for very large or enterprise use cases. | The project describes SedonaDB as suited to smaller and medium datasets on local machines or cloud instances, and points to SedonaSpark, SedonaFlink, or SedonaSnow for distributed workloads. |
| Security | The Cloud page lists access controls, encryption in transit and at rest, activity logging, and SOC 2 Type II compliance. | The repository page links to a Security policy, but the opened page does not state specific security certifications or compliance claims. |
ClickHouse Cloud plans
- Basic$25.30 a month
- Enterprise$25.30 a month
- Scale$25.30 a month
SedonaDB plans
- Apache SedonaDBFree
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 SedonaDB if…
SedonaDB suits developers and analysts working with geospatial data in local or single-node environments, especially through Python or SQL. Distributed workloads may call for the related SedonaSpark, SedonaFlink, or SedonaSnow projects.