Anavsan is the Workload Governance Platform for Snowflake and BigQuery. Powered by APEX, it traces waste (not spend) to a workload and owner, assigns the fix, enforces a decision through your review process, and proves closure from the data.
On-demand bills bytes processed (TiB). Capacity bills slots — reservations, editions (Standard, Enterprise, Enterprise Plus), baseline versus autoscale. Slots are billed per second, with a one-minute minimum. We rank idle baseline, overshoot, and unpruned scan — not the busiest project.
Google already totals on-demand TiB and reservation slot-hours. That is spend. Cost governance starts when someone can name which jobs and reservations are waste — and who owns the fix.
Committed baseline slots sit unused. Autoscale adds capacity that outlives the burst. Editions (Standard, Enterprise, Enterprise Plus) bill slots per second, with a one-minute minimum.
On-demand charges bytes processed. Partition and cluster pruning that never fires, plus SELECT *, inflate TiB without looking like a “slot problem.”
INFORMATION_SCHEMA.JOBS can show user_email and destination table. If that does not resolve to a workload owner, the finding stays marked as needs owner — not assigned to a guess.
Same loop as Snowflake, in BigQuery objects: jobs, slots, reservations, scan. Metadata only. The Private Knowledge Graph remembers ownership — it does not AutoApply.
Four stages. BigQuery vocabulary. No invented signal catalog. No AutoApply.
Rank idle baseline slots, autoscale overshoot, unpruned scans, and SELECT * bytes billed — not the project with the largest invoice line.
Resolve the job or reservation from evidence. Unowned jobs stay needs owner. The Private Knowledge Graph is ownership memory — it does not AutoApply.
The exact change — query, reservation, or job config — goes through your review process until it is applied, deferred with a reason, or dismissed.
The finding closes when slot-ms or scanned bytes return to normal. Closure is from the data, not a checkbox.
We do not replace Cloud Billing or reservation reports. We attach waste to an owner and a closed decision.
In product. Metadata only. Waste, not spend.
referenced_tables to a named owner and flags unreferenced tables. Same APEX loop; different object. Storage is on storage intelligence.