Exasol
8.0#2 in olap softwareFrom $3.30 a monthFree planWebAPILinuxmacOS
VisitExasol vs Teradata Database
Teradata Database
5.5#19 in data warehouse softwareWebAPILinuxSelf-hosted
VisitWhat both publish
| Fact | Exasol | Teradata Database |
|---|---|---|
| Deployment | Exasol lists on-premises, hybrid, and fully managed SaaS deployment options; on-premises environments can include air-gapped setups. | Teradata documentation lists Teradata Cloud, public cloud, Teradata hardware, commodity hardware, and hybrid cloud as deployment options. |
| Founded | 2000 | 1979 |
| Headquarters | Nuremberg, Germany | San Diego, California, USA |
| Integrations | Official ecosystem documentation lists BI integrations including Power BI, Tableau, Looker, Qlik Sense, SAS, Superset, Yellowfin and Amazon QuickSight. | Teradata’s developer portal demonstrates connections and workflows using JDBC, dbt, Teradata Parallel Transporter, and object storage such as AWS S3, Google GCS, and Azure Blob. |
| Intended users | Exasol SaaS is described as suited to organizations needing multi-departmental analytics, in-database machine learning or AI, and complex data integration or virtualization. | Teradata says its enterprise customers span financial services, healthcare, public services, life sciences, retail, manufacturing, telecommunications, and transportation. |
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
Teradata Database plans
- Teradata DatabasePriced on request
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.
Pick Teradata Database if…
Teradata Database suits enterprise teams with complex analytic workloads, including organizations in the listed industries such as financial services, healthcare, retail, and manufacturing. It may also fit teams that need in-database analytics, hybrid deployment, or data lake support.