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Integration
Stop guessing what drives your BigQuery costs. Get the job-level intelligence you need to pinpoint heavy workloads, streamline performance, and scale your data strategy without the waste.
Bring BigQuery slot usage, query stages, and storage patterns into DoiT Cloud Intelligence to surface inefficient SQL, eliminate wasted compute, and optimize storage across your data platform.
Setup
Enable audit-log enrichment to layer job-level signals on top of your existing BigQuery billing data. You’ll see exactly which projects, queries, and users drive usage and cost, with detail that goes deeper than billing exports to expose performance and efficiency patterns you’d otherwise miss.
Visibility
See how BigQuery spend and usage evolve across projects, jobs and teams in one place, combining cost and usage signals so you can spot trends and outliers without building reports from scratch.
Detailed Analysis
Explore BigQuery usage down to the user, reservation, job level so you can zero in on which teams and workloads drive spend and where to optimize.
Anomaly Detection
Monitor BigQuery on-demand workloads in near real time, flagging unusual spend or query volume by project, job, or user so you can act before anomalies ever show up in your billing files.
Insights
Highlight wasteful on-demand jobs and suboptimal partitioning or clustering. Get clear recommendations so you can reduce cost while keeping query performance on track.
CloudFlow
Turn BigQuery usage and cost signals into workflows that watch for runaway jobs, notify the right owners, trigger approvals, and clean up tasks so controls stay in place without chasing people down.
You will receive a calendar invite to the email address provided below for a 15-minute call with one of our team members to discuss your needs.