Case study
Bringing clarity to Databricks spend at Meijer
Cost attribution and monitoring across clusters, jobs, and notebooks turned an opaque ~$4M Databricks bill into a line-item-level view the data team could act on.
$300K-$500K
saved per year against ~$4M Databricks spend
Client
Meijer
The situation
Placeholder. Replace with specifics: ~$4M annual Databricks spend with little visibility into what was driving it, and no way to attribute cost to clusters, jobs, or notebooks.
What we did
Placeholder. Replace with the real work: instrumented cost attribution with Databricks Overwatch; per-cluster, per-job, and per-notebook cost reporting; right-sizing and idle-cluster cleanup; and guardrails to keep spend honest going forward.
The impact
- $300K-$500K in annual savings against a ~$4M Databricks spend.
- Placeholder: add the rest – faster jobs, fewer idle clusters, a chargeback model.
Tech stack
Databricks · Overwatch · AWS