Ventra
Find the queries burning your warehouse bill.
Ventra reads your query history, ranks the top money-pits, and ships a pull-request rewrite with a dollar estimate — proven byte-identical before anyone merges.
Teams waste an average of 38% of their warehouse spend.
It rarely shows up as one bad query. It shows up as a thousand small patterns — unpruned scans, repeated joins, oversized compute — quietly compounding into a six-figure leak.
Based on the average mid-market warehouse bill of $1.4M/yr, 38% waste.
Full table scans
Dashboards re-scan terabytes when only the last 7 days are needed. Predicate pushdown wins back 80–96% of bytes scanned.
Redundant recompute
The same aggregate runs 31× per hour for a chart that refreshes hourly. Materialized views collapse the duplicate work.
Oversized warehouses
XL warehouses sit idle 71% of the time. Right-sizing and aggressive auto-suspend cut the line item without touching the SQL.
Stale clustering keys
When clustering keys drift from filter patterns, micro-partition pruning collapses. Re-clustering restores 90%+ pruning ratios.
A five-step path from query history to a merged savings PR.
Ingest
Read-only pull of QUERY_HISTORY, billing & credit usage. Connects in 8 minutes.
Attribute
Every query gets a dollar cost. Patterns are clustered and ranked by spend.
Diagnose
Rules engine + LLM proposes a concrete fix: rewrite, materialize, cluster, right-size.
Ship PR
Pull request against your dbt or SQL repo with a verified dollar estimate attached.
Prove
Shadow-runs the rewrite against a sample. Byte-identical results before merge.
Top 20 queries. One PR each.
Hover a row to expand the before/after diff. Every fix carries a dollar estimate validated against the last 30 days of actual runs.
Predicates on (account_id, event_date) prune 0% of micro-partitions on PROD.MART.FCT_SESSIONS. Clustering by (account_id, event_date) reduces partitions scanned from 41,802 → 318 on the p95 query.
Nothing merges without byte-identical proof.
Every suggestion gets a shadow-run that executes the rewrite on a sample of production data and compares results to the original, bit for bit. Only when they match does the PR open.
- Read-only credentials. No DDL, no writes.
- Sampled execution, never re-runs the full workload.
- Suggestion-only. Your engineers approve the PR.
- Cryptographic attestation per fix, auditable forever.
- SOC 2 Type II. SSO, SCIM, and audit log export.
Every saving, attested.
When a fix passes its shadow-run, we cryptographically attest the measured delta on-chain. Finance gets a tamper-proof trail. Billing settles trustlessly against verified savings, never against estimates.
Plugs into the stack you already run.
- Snowflake●
- BigQuery●
- Databricks●
- Redshift●
- Trino●
- dbt Core●
- dbt Cloud●
- SQLMesh●
- Coalesce●
- GitHub●
- GitLab●
- Bitbucket●
- Azure DevOps●
- Datadog●
- Grafana●
- Slack●
- PagerDuty●
- Linear●
What teams say after the first scan.
“Ventra found six figures of waste in our first week. Two PRs, both merged, both byte-identical.”
“It reads like a senior data engineer left a sticky note on every bad query — with the dollar number attached.”
“Finance loves the on-chain ledger. We finally stopped arguing about whether the savings were real.”
Will Ventra ever modify our warehouse?+
No. Credentials are read-only and Ventra never executes DDL or writes. Every suggestion ships as a pull request your engineers review and merge.
How accurate are the savings estimates?+
Every estimate is shadow-run against the last 30 days of actual production traffic on a sample. The dollar number on the PR is the measured delta, not a model guess.
What data leaves our environment?+
Query text, plan, and billing metadata. Never row data. SOC 2 Type II controls, VPC peering and on-prem deployment available on Enterprise.
How long does a connection take?+
About 8 minutes. You create a read-only role, paste credentials, and the first report is ready in under an hour.
What is the on-chain attestation actually for?+
Finance teams need a tamper-proof trail of which fixes saved how much. The attestation is the cryptographic receipt that the Ventra fee is calculated against.
Do you support BigQuery and Databricks?+
Yes — Snowflake, BigQuery, Databricks and Redshift are first-class. Trino is in beta.
Find the queries burning your bill.
14-day audit. Read-only. No commitment. You only pay a slice of savings we prove.