Story
Google Cloud
DataRobotHow DataRobot Runs Platform Operations on BigQuery
DataRobot, an information technology organization in the United States, uses BigQuery from Google Cloud to support platform operations for infrastructure and application teams.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because cloud landing zones has a clear owner |
| Productivity | Handoffs in platform operations sit in a shared queue instead of a mailbox trail |
| Capability | New joiners can see how platform operations actually runs |
Story
DataRobot is based in the United States and runs information technology operations at a scale where cloud landing zones cannot live in side channels. Infrastructure and application teams were reconciling competing copies of the same work, which slowed platform operations and hid who owned the next step.
The company runs platform operations on Google Cloud, with BigQuery as the product infrastructure and application teams actually open. Google Cloud provides infrastructure, analytics, and AI services, including BigQuery and Vertex AI, for data-heavy and machine learning workloads. For DataRobot, that means infrastructure and application teams can open one workflow, see cloud landing zones, and let neighboring teams join without inventing a parallel stack.
Public materials confirm the companies and products. They do not always publish a single verified KPI for this pairing, so the outcome here is operational: clearer ownership, fewer stalled handoffs, and a shared record for cloud landing zones.
