CrateDB
8.4#1 in spatial databasesFree planFree planWebAPILinuxmacOS
VisitCrateDB vs MariaDB Enterprise Analytics
MariaDB Enterprise Analytics
5.2#25 in columnar databasesLinuxSelf-hosted
VisitWhat both publish
| Fact | CrateDB | MariaDB Enterprise Analytics |
|---|---|---|
| Deployment | CrateDB can be used as a fully managed service or deployed on preferred infrastructure, and its download page provides Linux and macOS installation information plus Docker and Kubernetes guides. | MariaDB Enterprise is described as production-grade open source that runs on premises or in the cloud, on servers or containers, and on HDDs or SSDs. |
| Headquarters | Redwood City, California, United States | Silicon Valley and Ireland |
| Purpose | CrateDB is a real-time analytics database for live operational data. | MariaDB Enterprise can be deployed as a columnar database for real-time analytics using distributed data and massively parallel processing to run interactive ad hoc queries on very large datasets with standard SQL. |
| Security | CrateDB describes authentication, authorization, encryption, audit logging and compliance certifications across managed and self-managed deployments. | The product page lists transparent data encryption in Enterprise Server and a database firewall in MaxScale. |
CrateDB plans
- Shared FreeFree
- Shared—
- Dedicated—
- Open SourceFree
- CrateDB Cloud Free PlanFree
- CrateDB Cloud Shared$0.07 a month
MariaDB Enterprise Analytics plans
- Enterprise PlatformPriced on request
- Enterprise Platform PlusPriced on request
- Enterprise Platform UltimatePriced on request
Pick CrateDB if…
CrateDB suits teams analyzing live operational data across varied formats who need SQL and horizontal scaling. It also fits users choosing between a managed Cloud service and deployment on their own infrastructure, including those seeking an Apache 2.0 open-source core.
Pick MariaDB Enterprise Analytics if…
It suits teams running analytic workloads that need interactive, ad hoc analysis of current data or have outgrown traditional databases. Its deployment and connector options support varied data sources and environments.