Dashboards detect the spend.
Snowflake & BigQuery show the compute.
Still no owner No workload identified

Anavsan enforces the fix.

Anavsan is the Workload Governance Platform for Snowflake and BigQuery. APEX finds addressable waste, puts an evidence-backed owner on it, and closes the finding when the metric recovers.

Free Assessment Start 14-Day Free Trial
ANALYTICS_WH · Last 14 days · Credits/day APEX active
APEX detected Owner assigned ETL_PIPELINE 45% CORTEX_AI 25% ANALYTICS 19% OTHER 11%
Anomaly detected
312%
Credits/day spike · Owner unresolved
Workload traced
ETL_PIPELINE
Owner: Priya M. · High priority · Assigned
Governance closed ✓
−67%
Metric recovered · Finding closed
Trace → Assign → Enforce → Prove
The Problem

Detection isn't the gap. Enforcement is.

You already see the spikes. What's missing is the workload behind them, an owner who must act, and a record that the waste actually stopped.

Attribution gap

The platform sees warehouses

Not the retraining pipeline, the Cortex agent, or the team's app behind the burn. The cause stays unnamed.

Native tooling shows
ANALYTICS_WH · 312% spike
What you actually need
ETL_PIPELINE → Team A → Priya M.
Ownership gap

So the fix never lands

An unattributed cost goes into a Slack thread, gets no owner, and runs again next week. Visibility without enforcement changes nothing.

What happens now
#data-costs: "anyone know this?"
3 days later
Closed · no action · still running
Governance gap

No record for renewal

When the contract comes up, there's no proof of what was fixed, what was saved, or who owned it.

At renewal time
CFO: "Show me the ROI"
Team's answer
...rebuilding spreadsheets
✦ Anavsan closes all three gaps

Attribution, ownership, and proof — without another dashboard.

How APEX does it
Product Suite

The agent, then the platforms

APEX is the Workload Governance Agent. Snowflake and BigQuery are the estates it governs.

Engine

APEX

TraceAssignEnforceProve

The Workload Governance Agent for Snowflake and BigQuery. Human-gated. It does not AutoApply.

Explore APEX
Platform

Snowflake

Warehouses Cortex Native App

Warehouses, Cortex, Native App, and 200+ Snowflake signals. Depth lives on the hub.

Snowflake hub
Platform

BigQuery

Cost Storage Lineage

Same governance on jobs, slots, reservations, and scan waste — in product, not a waitlist.

BigQuery hub
How APEX Works

Trace it. Assign it. Enforce it. Prove it.

Four stages. One closed loop. Read the loop explainer →  ·  See the full walkthrough →

01

Trace

Find addressable waste — the gap between what you paid and an efficient run — not a spend leaderboard.

Addressable waste, not a spend leaderboard
02

Assign

Resolve an evidence-backed owner or team. If ownership isn't knowable, say needs owner — never guess.

Named owner — or needs owner
03

Enforce

Hand the owner the change, risk, and savings; track applied, deferred, or dismissed through your review process.

Applied, deferred, or dismissed
04

Prove

The finding closes when the metric recovers. Nobody self-reports a win.

Closed because the waste stopped
APEX
Loop closed · Governance complete ✓
Private Knowledge Graph: ownership memory for workloads, evidence, and fix history. It makes assignment trustworthy — it is not AutoApply.
50%+
Average cost reduction
2
Snowflake and BigQuery estates
5 min
To connect an account or project
Day 1
First attributed burn report
Customer Results

Attribution, not just alerts

From Snowflake engineering and FinOps leaders.

★★★★★

"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."

HA
Head of Data Analytics
Global Financial Services Firm
40% Snowflake spending reduction in Q1
★★★★★

"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."

DA
Data Architect
FinTech Startup
35% cost reduction in just 2 months
vs. Monitoring Tools

Monitoring shows the problem.
Anavsan solves it.

Monitoring stops at the alert. Anavsan adds ownership and proof the waste stopped.

Capability Anavsan APEX Native Snowflake Monitoring Other Tools
Accountability assignment ✓ Evidence-backed owner No No
Private Knowledge Graph ✓ Ownership memory No No
Documented savings proof ✓ Closes from the data No No
Pre-production simulation ✓ Change-safety step No No
Zero data exfiltration ✓ Metadata-only ✓ Varies

Named competitor: Anavsan vs Unravel →

Pricing

Same SKUs on Snowflake and BigQuery.

One billed unit is one Snowflake account or one BigQuery project.

Monitoring
Free
Forever free for 1 Snowflake account or 1 BigQuery project
Free visibility for one Snowflake account or one BigQuery project.
  • Cost anomaly detection on Snowflake warehouses and BigQuery jobs Surfaces spend spikes with workload context, not just native account or project charts.Native anomaly detection vs APEX
  • Cost intelligence packaged for FinOps, not buried in native views Native monitoring stops at visibility. Anavsan Monitoring is the free starting point for shared cost intelligence.Native monitoring vs AI platforms
  • Shared FinOps and engineering cost dashboards
  • Workload-aware visibility with a path to ownership SELECT-style tools emphasize observability and allocation. Anavsan starts free visibility with a path to accountability and closure.SELECT vs Anavsan
  • Community support, self-serve setup
  • 1 Snowflake account or 1 BigQuery project, forever free
Start free
Most Popular
Accountability
$ 1,750 / month
Billed per Snowflake account or BigQuery project
Close the ownership gap. Every anomaly has an assignee.
  • Everything in Monitoring, plus:
  • Assign every cost issue: evidence-backed owner, or needs owner Route each issue to an evidence-backed owner, confidence-gated, never a guessed personal accusation, with context to act.Ownership in Enforcement Desk
  • Workload tagging and ownership attribution
  • Optimization audit trail with ownership evidence
  • Query optimization with pre-deployment credit simulation Estimate impact before production. Simulation is change-safety, not proof of closure.Trace → Assign → Enforce → Prove
  • Private Knowledge Graph of workloads, owners, and fix history Org-specific graph of workloads, owners, and fix history, Snowflake warehouses and Cortex, or BigQuery jobs and slots, so recommendations are contextual, not generic.APEX & Knowledge Graph
  • Ask APEX: grounded chat over costs, ownership, and Desk findings Grounded chat over findings, ownership, and usage data, with SQL, citations, and as-of stamps. Argue with a Desk recommendation in place instead of opening another ticket.See Ask APEX
  • Priority support
Start free
Enforcement
3–5%
of governed Snowflake credits or BigQuery project spend
Enforcement Desk, policy, and PR workflows so addressable waste reaches verified closure.
  • Everything in Accountability, plus:
  • Enforcement Desk: waste-ranked findings with owners, exact fixes, and evidenced closure Worklist ranked by addressable waste (not spend): mechanism, owner, exact fix + SQL, and status that closes when the metric recovers, via your PR process.See Enforcement Desk
  • Policy-driven enforcement, budget guardrails, and alerts
  • GitHub and workspace PR workflows: system-prompted query fixes grounded in the Knowledge Graph Desk fixes leave as PRs in your repository, human-approved through your review process, with PKG context on the change.Enforcement Desk closure
  • FinOps ↔ engineering shared workspace with open-issue and resolution dashboards
  • Optional knowledge base hosting in your environment When required, knowledge can stay in your Snowflake environment under a metadata-first posture, on top of the Knowledge Graph already included in Accountability.Native App & in-Snowflake options
  • Cross-account / cross-project intelligence console
Contact us
Forever free Monitoring (1 account or project) Connect in minutes. Metadata only

Same SKUs on Snowflake and BigQuery. Native App, Cortex visibility, and the Cortex simulator remain Snowflake-only. Questions? Contact us. We reply fast.

FAQ

Common questions answered

Everything you need to know before you start your trial.

What is Anavsan?
Anavsan is the Workload Governance Platform for Snowflake and BigQuery, powered by APEX — so material waste gets an owner and a verified close, not just another alert.
What is workload governance?
Every material inefficiency has an owner, a resolution path, and evidence it stopped. Monitoring shows the spike; governance finishes the job.
What is Snowflake workload governance?
Snowflake workload governance is the same discipline on Snowflake credits, warehouses, and queries. Native attribution stops at the warehouse. Anavsan names the workload and owner, then enforces a decision and proves the waste stopped. See the Snowflake hub →
Does Anavsan support BigQuery?
Yes — BigQuery is in product. Same APEX model on jobs, slots, reservations, and scan waste. BigQuery hub →
Does Anavsan support Databricks?
No. Anavsan governs Snowflake and BigQuery. Databricks is a Unravel strength. If you need one AutoApply control plane across three platforms, compare operating models first. Anavsan vs Unravel →
Does Anavsan access my business data?
No — Anavsan uses metadata only. Snowflake: ACCOUNT_USAGE-class operational signals. BigQuery: operational metadata and INFORMATION_SCHEMA-class signals. It never reads, copies, or moves table contents.
How does Anavsan reduce Snowflake costs?
By closing addressable waste, not just detecting spikes. APEX ranks idle compute, inefficient queries, storage bloat, and Cortex usage, then drives each row to a named owner and a recovered metric.
How is Anavsan different from Snowflake monitoring tools?
Monitoring tools detect problems; Anavsan enforces the fix. Native dashboards show what spiked. Anavsan names an owner and proves the waste stopped.
How is Anavsan different from Unravel?
Unravel is an operator; Anavsan is a governance layer. Their Context Graph exists so an agent can act (AutoApply). Our Private Knowledge Graph exists so assignment and closure are trustworthy. We cover Snowflake and BigQuery; they add Databricks. Read the brief →
How long does it take to connect Snowflake to Anavsan?
Most teams connect in about 5 minutes. Anavsan uses secure service-user authentication with metadata-only, read-only access. Your first attributed burn report is available on Day 1. Full onboarding support is included on Accountability and Enforcement plans.
Does Anavsan support multiple Snowflake accounts?
Yes — Anavsan supports multi-account Snowflake and multi-project BigQuery environments. Monitoring includes 1 Snowflake account or 1 BigQuery project free. Accountability is billed per Snowflake account or BigQuery project; Enforcement adds centralized visibility, cross-account and cross-project intelligence, and policy-driven governance across the footprint you govern.
Can Anavsan monitor Snowflake Cortex and AI Services?
Yes — on Snowflake, Anavsan tracks Cortex and AI Services alongside queries and warehouses. Teams can see which agents, models, and pipelines drive AI token spend, attribute it to an owner, and govern AI-related credit burn before renewal.
Does Anavsan suggest fixes or only report problems?
Anavsan recommends an exact change and tracks it through your review process. Simulation is a change-safety step. The finding closes when the metric recovers.
How much does Anavsan cost?
Same SKUs for Snowflake and BigQuery. Monitoring is forever free for 1 Snowflake account or 1 BigQuery project. Accountability is $1,750 / month, billed per Snowflake account or BigQuery project ($16,800 / year). Enforcement is 3–5% of governed Snowflake credits or BigQuery project spend. Native App, Cortex visibility, and the Cortex simulator remain Snowflake-only. See pricing → Contact us for Enforcement.
5-min connect — your data stays yours

Stop detecting cost problems.
Start enforcing the fix.

Scaling on Snowflake or BigQuery and burning compute early? Walk into renewal with a record, not a surprise.

Book a Demo Start 14-Day Free Trial

Metadata only — table contents never leave the platform.