Integrations/Databricks
    Databricks
    Native Integration

    Databricks Integration

    Govern Databricks lakehouse compute costs down to the job, warehouse, and cluster — DBUs, serverless units, and storage fully attributed across your workspaces.

    What Finomics tracks for Databricks

    Lakehouse compute cost governance

    DBU consumption and cost by workload, job, and notebook
    SQL warehouse compute usage and auto-scaling behavior
    Classic vs. serverless compute unit pricing
    Delta Lake storage and data transfer costs
    Cost allocation by workspace, cluster, and tag
    Idle clusters, over-provisioned runtimes, and retry waste

    Why govern Databricks with Finomics

    DBU-Level Transparency

    See exactly which jobs, warehouses, and workspaces consume the most DBUs.

    Workload Forecasting

    Predict future lakehouse spend based on job and query growth patterns.

    Cluster Governance

    Enforce runtime sizing and auto-termination policies to cut waste.

    Team-Level Chargeback

    Allocate Databricks costs across teams and projects using workspace tags.

    Serverless Optimization

    Compare classic vs. serverless unit economics to pick the right compute model.

    Anomaly Detection

    Catch runaway jobs or misconfigured warehouses before they burn DBUs.

    Get started in minutes

    01

    Connect

    Grant a read-only Service Principal access to your Databricks account and workspaces.

    02

    Sync

    Finomics ingests cluster, job, warehouse, and storage usage data automatically.

    03

    Attribute

    Map workspaces, clusters, and tags to teams and cost centers.

    04

    Govern

    Set DBU budgets, rightsizing alerts, and compute policies.

    Start governing Databricks spend with Finomics