Jobber's High-Performance Embedded Dashboards with Cube

The implementation of Cube in Jobber's system has significantly improved the performance of their dashboards. The two-level caching system of Cube has eliminated the need for Jobber to maintain their own optimization code, simplifying their operations. The external pre-aggregations capability of Cube has also been beneficial, as it allows Jobber to build pre-aggregations inline within their read-only source database. Furthermore, Jobber's active engagement with Cube's open-source community has not only accelerated their own development but also provided valuable insights to the Cube Dev team on actual use cases in production environments. The successful deployment of Cube has led Jobber to explore other areas where Cube can reduce engineering costs while delivering great features for their customers.

Jobber supports over 50 industries and has serviced over 15 million households in more than 47 countries.

More than 100,000 service professionals use Jobber's platform.

Jobber's architecture involves a single PostgreSQL database backend, a read-only replica of the database to populate the rollup pre-aggregations database.