Cut Snowflake and Databricks spend by 30–60%
Most data platform spend is lost to compute that is awake when nobody is asking it anything, sized for workloads that no longer exist, and scanning far more data than the answer needs.
What it needs to get started
Read-only access to query history & warehouse telemetry
No credentials handed over; no table data leaves your account
Verify every recommendation before applying any change
Inside Teksoptima in production
Explore warehouse health, intelligent query routing, and automated cost schedules.
Warehouse Health & 30-Day Load Heatmap
Hourly weekday load analysis and safe automated resize schedules
Warehouse Health & 30-Day Load Heatmap
Inspect the 30-day load across all warehouses. See exactly which quiet hours are downsized and peak hours restored, with full generated SQL to apply and reverse every recommendation.
Query Router & Predictive Model Suggestion
Real-time query sizing combining deterministic rules with ML second opinion
Query Router & Predictive Model Suggestion
Route queries dynamically to optimal warehouse tiers. The gradient-boosted model provides a confidence-scored second opinion beside the rule-based target, withholding suggestions below 70% confidence.
Spend Intelligence & Forecast Anomalies
7-day credit spend forecasting and baseline anomaly detection
Spend Intelligence & Forecast Anomalies
Tracks credit burn in real time, forecasts future warehouse consumption, and isolates abnormal query spikes before they become monthly invoice surprises.
Three levers to remove 30–60% of credit spend
Applied in order, these levers yield immediate and lasting reductions without altering analyst queries or dashboards.
Idle time and schedule
Warehouses and clusters suspend on observed usage rather than a default timeout, and batch work moves to windows where it is not competing with interactive users.
Right-sizing
Size, cluster count and scaling policy are matched to the workload actually running on them rather than the one they were provisioned for a year ago.
Scan and storage efficiency
Clustering, partition pruning and table layout cut how much data each unchanged query has to read.
SQL Deterministic Rules Engine
Inspects query history, warehouse telemetry, and access patterns to find compute waste already visible in the account. Zero guesswork; fully auditable.
Predictive Machine Learning Engine
Forecasts daily and weekly rhythms to anticipate demand spikes. Provides second-opinion sizing with rigorous confidence thresholds.
Start cutting cloud data spend today
Connect your Snowflake or Databricks account in observe mode to see your credit baseline and savings potential.