The Data Economics Control Plane for Analytics Compute
Govern AI-agent-driven optimization across Snowflake, Databricks, BigQuery, Redshift, Synapse, and Fabric. Data Platform teams control runtime behavior while FinOps gets allocation, amortization, chargeback, and verified savings.
Agents need evidence before they act.
These examples use real DataX screenshots. The important shift is not detection alone; it is turning telemetry into governed decisions.
Query Agent: the $117 full scan
A BigQuery query scanned 334.6 GB because partition pruning was missing. DataX explains the pattern and the fix.
- > Full table scan detected
- > 0% cache hit rate
- > $117.16 in real cost
- > Partition pruning fix prepared for governed approval
Workload Agent: the pattern billing never shows
DataX groups executions into repeatable workload patterns so Data Platform teams can govern behavior, not chase one-off rows.
- > 77 runs
- > $1.52 average cost
- > $117.16 total
- > 100% scan rate
- > Tagged as full-scan, spiky, fan-out
This is the operating layer between raw telemetry and runtime action.
FinOps Agent: the high-frequency amplifier
A query running 77 times/month can look harmless until repetition multiplies cost, allocation, and chargeback impact.
- > Detected automatically
- > Exact SQL available
- > Frequency + cost math explained
- > Cache / materialization actions routed to policy
The same signal feeds allocation, unit economics, and verified savings.
Dashboards explain yesterday. Control planes govern runtime behavior.
| The Old Way | CloudVerse DataX | |
|---|---|---|
| Data Platform | Reactive dashboards and manual tuning after jobs have already burned capacity | Runtime control plane with policy-bound agents for workload, warehouse, and query decisions |
| FinOps | Invoice views, generic tags, and late allocation fights | Actual and amortized economics tied to workload owners, commitments, and verified savings |
| CIO / CTO | Optimization depends on heroics, scripts, and informal approvals | Governed AI-agent execution with approvals, audit trails, rollback readiness, and risk controls |
DataX is built for teams releasing AI agents into analytics operations: controlled, observable, accountable.
Join the Founding 10
We're inviting 10 forward-thinking data teams to help shape the future of CloudVerse DataX.
This is a partnership — not a free trial.
The Deal
Connect your warehouse this week and get:
- Query-level remediation automation free for 6 months
- Up to your first $10,000 in verified, realized savings
The Requirement
A 20-minute monthly feedback loop with our founding team to influence the roadmap.
The "Detect and Regret" Era Is Over.
Cloud billing has become a game of detect and regret — discovering overspend only after the money is gone.
We built CloudVerse DataX because:
- —data engineers shouldn't have to be accountants
- —business owners shouldn't fear a 2:00 AM cloud cost explosion
We don't ship theoretical recommendations.
We deliver surgical fixes for real compute waste.
It's time to stop the bleeding.
— CloudVerse DataX Team
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