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.
Multi-year commitments are depleting months ahead of schedule. Your team can already see the spikes — what's missing is attribution to the workload that caused them, and a system that drives the fix to done. Leadership asks what's driving it. No one owns the answer.
Anavsan launches APEX — an enforcement engine that closes the loop on Snowflake costs, with Cortex Code integration, Slack accountability routing, and GitHub PR documentation workflows.
APEX is the Workload Governance Agent. Snowflake and BigQuery are the estates it governs. Open a hub for warehouse and Cortex depth, or for BigQuery cost, storage, and dataset lineage.
The Workload Governance Agent for Snowflake and BigQuery. It traces waste to a workload and owner, tracks the fix through your review, and closes the finding from the data. Human-gated. It does not AutoApply.
Explore APEXThe deep worked example: warehouses, queries, storage, Cortex, and Native App. 200+ Snowflake signals feed the graph. Cost, storage, AI visibility, and the Cortex simulator nest here.
Snowflake hubThe same loop in BigQuery vocabulary: jobs, slots, reservations, and scan waste. Nested: cost governance, storage intelligence, and dataset lineage. In product, not a waitlist.
BigQuery hubFour stages. One closed loop — find the waste, name an owner, drive a decision through your review process, then close it from the data. Read the loop explainer → · See the full walkthrough →
Find the waste, not the spend. Detect a recurring, fixable inefficiency and quantify the excess — the gap between what you paid and what an efficient configuration would have cost.
Name a party, never the wrong one. Resolve the accountable person or team from real ownership evidence, and say plainly when ownership isn’t knowable rather than guessing.
Drive it to a decision. Give the owner the exact change, the risk and the savings, then track it through your own review process until it is applied, deferred with a reason, or dismissed.
Close it from the data. Watch the underlying metric return to normal and resolve the finding automatically. Nobody self-reports a win.
Recurring inefficiencies with a counterfactual dollar figure — busy, efficient warehouses stay off the list.
Evidence-backed assignment — or an honest needs-owner, never a guessed personal accusation.
Exact change through your PR process — applied, deferred with a reason, or dismissed.
The finding resolves itself when the metric recovers. Nobody self-reports a win.
See which recurring inefficiencies are addressable — the gap versus an efficient config, not a warehouse leaderboard.
Cost events route from evidence. If ownership is not knowable, the Desk says so instead of guessing a person.
The exact change tracks through your PR process until it is applied, deferred with a reason, or dismissed.
The finding resolves itself when the metric recovers. Nobody self-reports a win — and a simulation is not the proof.
Here's what Snowflake engineering and FinOps leaders say after using Anavsan.
"Before Anavsan, our warehouse costs were completely unpredictable. Now we have full visibility into who owns what, and our team actually takes accountability for query performance. Night and day difference."
"We achieved a 40% reduction in Snowflake spending within the first quarter. The anomaly detection caught patterns our own monitoring missed completely. The ROI was immediate and measurable."
"As a data architect at a fintech, security and auditability are non-negotiable. Anavsan's metadata-only approach and the proof documentation trail made it an easy sell to our compliance team. 35% cost reduction in 2 months."
"The query simulation feature alone is worth it. We were deploying optimization changes blind before — now we validate credit savings in a sandbox first. Our engineers love it, and leadership loves the documented proof."
Traditional monitoring tools stop at alerting. Anavsan closes the full accountability loop — from detection to documented resolution.
| Capability | Anavsan APEX | Native Snowflake Monitoring | Other Tools |
|---|---|---|---|
| Cost anomaly detection | ✓ AI-powered, contextual | Partial Basic thresholds | ✓ |
| Accountability assignment | ✓ Auto-routed to engineer | No | No |
| Pre-production cost simulation | ✓ Sandboxed validation | No | No |
| Private Knowledge Graph | ✓ 200+ signals | No | No |
| Documented savings proof | ✓ Verified audit trail | No | No |
| Multi-account governance | ✓ Centralized | Partial | Varies |
| Zero data exfiltration | ✓ Metadata-only | ✓ | Varies |
| Available on Snowflake Marketplace | Partial Monitoring only | ✓ Built-in | No |
Same SKUs for Snowflake and BigQuery. One billed unit is one Snowflake account or one BigQuery project. Start with free monitoring. Add ownership when you need accountability. Enforce when savings must stick.
Same SKUs on Snowflake and BigQuery. Native App, Cortex visibility, and the Cortex simulator remain Snowflake-only. Questions? Contact us. We reply fast.
Everything you need to know before you start your trial.