FinOps Agent
BigQuery Costs. Under Control.
Cut BigQuery Costs — AI-Powered Cost Insights, Query Optimization & Slot Recommendations. It reads your warehouse metadata in place, finds the waste, and tells you exactly what to change — without ever copying your data.
Savings Found This Month
prod-analytics · us-central1
Query rewrite: etl_daily_rollup
Partition pruning + column selection — 412 → 56 TiB scanned
3 datasets → physical billing
Compressed size 78% smaller than logical
41 idle tables detected
No reads in 90 days — archive or drop
Reservation right-sizing
Baseline 100 slots + autoscale beats on-demand for this workload
Live from INFORMATION_SCHEMA — no data copied, no pipelines
What the FinOps Agent Does
Real-Time Cost Insights
Live spend, slot usage, and cache-hit analysis straight from your INFORMATION_SCHEMA — by project, user, table, and statement type. No pipelines, no lag.
AI Query Rewriter
A Gemini-powered agent finds your most expensive queries and proposes equivalence-validated rewrites — same results, a fraction of the bytes scanned.
Slot & Reservation Optimizer
Models your real workload patterns and recommends the optimal mix of on-demand, autoscaling reservations, and commitments — with the savings quantified.
Storage Billing Optimizer
Computes logical vs physical storage billing for every dataset and recommends the cheaper model — ranked by savings, including time-travel and fail-safe costs.
Zero Data Ingestion
A stateless query proxy over your own BigQuery metadata. No copies, no scheduled exports, no app-owned data store — your data never leaves your project.
Error & Usage Analytics
Failed-query forensics, permission-denied drill-downs, idle table detection, and top users by cost and slots — the accountability layer FinOps needs.
From Connection to Savings
Connect
Grant read-only IAM on your project. That's the whole onboarding — create tenant, grant permissions, ready.
Analyze
The agent reads INFORMATION_SCHEMA and your billing export in place — jobs, storage, reservations, errors — with nothing copied out.
Recommend
Query rewrites, slot configuration, storage billing models, and idle-table cleanup — each recommendation priced in dollars saved.
Save & Track
Apply the changes and watch the trend. The same live metadata that found the waste verifies the savings.
Built for Teams That Pay the BigQuery Bill
FinOps Teams
Spend attribution by user, team, and table — with recommendations you can hand to engineering, not just charts.
Data Platform Engineers
Find the queries, datasets, and reservations wasting money — and fix them with AI-validated rewrites.
Heads of Data / Analytics
Prove your warehouse is run efficiently. Track savings realised, not just identified.
Finance & Cloud Cost Owners
A clear monthly answer to "why is BigQuery so expensive?" — with the trend going the right direction.
Stop Guessing What BigQuery Costs You.
Get started — grant read-only access and see your first savings report the same day. No pipelines to build, no data leaves your project.