Continuous Cost Optimization for Databricks Environments
Lakemine reads your Databricks system tables, surfaces the cost inefficiencies hiding inside them, and attributes spend to the user, team, or workload behind it.
See Databricks Spend by User, Team, and Workload
Follow a full month of spend down to the workload that drove it.
Cost overview
Open opportunities
Savings run rate/month
Realized savings
Idle cluster · dev-ds-notebook-11
Oversized instance type · prod-ml-train-gpu-07
Outdated runtime (DBR) · prod-de-transform-04
No cluster policy · prod-de-shared-01
Watch Lakemine Catch Idle Clusters, Oversized Jobs, and Outdated Runtimes to Reduce Your Databricks Costs.
One Platform for Databricks
Cost Optimization
Find the savings hiding in your workspace
Daily scans catch every inefficiency and sort them by dollar impact. You see what to fix, in what order, and what each one saves.
Idle cluster
Idle
Oversized instance type
Wrong compute
Query spill to disk
Resize warehouse cluster
Daily scans. Notify only when it matters.
Get notified when new opportunities appear, when spend spikes, or when a workspace crosses your threshold.
Lakemine Alerts
alerts@lakemine.ai · 6:02 AM
3 new high-severity savings opportunities in prod-workspace
See who's spending what, down to the workspace.
Every dollar of spend traced back to the workspace, cluster, or job that caused it, pulled straight from your billing data.
Every resource watched, waste caught early.
A live inventory of every cluster, job, pipeline, and warehouse, with governance posture flagged automatically and alerts the moment spend spikes or crosses your threshold.
Built-In Engines for Every Databricks Cost Lever
Each engine owns one failure mode and runs daily, so configuration, performance, and demand stay covered as things change.
+20 more opportunities
A Dashboard for Every Seat at the Table
See Where Databricks Spend Goes, Priced
Line by Line
- Monthly cost trends broken down by product family and workspace
- Chargeback-ready attribution by team, tag, workspace, and workload
- Savings tracking that compares estimates against the following month's bill
Pricing Aligned to Consumption
Two ways to buy. Choose the one that matches how your finance team plans spend.
Pay as You Save
Risk-free- Pay nothing up front
- Billing based on audited savings
- Invoiced monthly
Pay per DBU
- Predictable licence model
- Scaled against active DBU consumption
- Built for flat-rate budgeting
Databricks Cost Optimization, Answered.
Take Control Where the
Databricks Budget Went
Take control of your Databricks spend. Find the waste in your Databricks environment.