Databend
8.2#1 in analytical data store softwareFrom $23 a monthFree planWebAPILinuxmacOS
VisitDatabend vs Exasol
What both publish
| Fact | Databend | Exasol |
|---|---|---|
| Encryption | Databend states that client-to-API traffic uses TLS 1.2 over HTTPS and that Enterprise supports server-side encryption for OSS storage. | The documentation says Exasol uses TLS encryption for JDBC, ODBC, ADO.NET, CLI, and WebSockets, while encryption at rest must be configured on the supplied file systems and devices. |
| Headquarters | Las Vegas, Nevada, United States | Nuremberg, Germany |
| Integrations | Databend says it has more than 50 integrations spanning relational databases, streams and orchestrators, lake formats, cloud storage, visualization tools, languages and drivers. | Official ecosystem documentation lists BI integrations including Power BI, Tableau, Looker, Qlik Sense, SAS, Superset, Yellowfin and Amazon QuickSight. |
| Product | Databend describes itself as an open-source, Rust-powered, cloud-native warehouse for analytics, search, and AI workloads. | Exasol describes itself as a sovereign analytics database for high-concurrency AI and analytics workloads. |
| Rating on Capterra | 0.0 out of 5 from 0 reviews. | 4.8 out of 5 from 12 reviews |
| Rating on G2 | 0.0 out of 5 from 0 reviews. | 4.7 out of 5 from 28 reviews |
Databend plans
- CommunityFree
- Databend CommunityFree
- Business$23 a month
- Personal$23 a month
- DedicatedPriced on request
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 Databend if…
Databend suits developers and organizations building analytics, search, or AI workloads that need an open-source warehouse and can choose between self-hosted and cloud deployment. Its documented ingestion pipelines and storage options may also suit teams connecting varied data systems.
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.