Latest Blogs & Updates
Cost optimization, product updates, and insights from the Lakemine team. Explore our latest articles covering Databricks cost management, platform updates, industry trends, and practical guidance for engineering and FinOps teams.
Introducing Lakemine: Continuous Cost Optimization for Databricks
Lakemine is a Databricks cost optimization platform that runs inside your workspace, detects waste across 17+ engines, and ranks findings by estimated savings.
More reading
- Automation
How to Automate Databricks Cost Optimization Using Lakemine
How to automate Databricks cost optimization using Lakemine: the time cost of manual tuning, the 17+ optimization engines, and the daily analysis cycle.
August 14, 2026 - Pricing
Databricks DBU Pricing Explained: How Databricks Units Are Billed
A Databricks Unit (DBU) is a normalized measure of compute consumed per second. This guide explains how DBU rates work, what drives usage up, and how the DBU bill relates to your cloud bill.
August 5, 2026 - Playbook
How to Reduce Databricks Costs: 9 Proven Strategies
Nine concrete ways to lower Databricks spend, from cluster rightsizing and auto-termination to compute type selection and continuous monitoring, ranked by typical impact.
July 24, 2026 - Best Practices
Databricks Cost Optimization Best Practices for Data Platform Teams
Databricks cost optimization best practices covering compute selection, autoscaling bounds, disk spill, Photon economics, and enforceable cluster policies.
July 17, 2026 - Guide
What Is Databricks Cost Optimization? A Complete Guide
Databricks cost optimization is the ongoing practice of reducing DBU and cloud infrastructure spend without cutting performance. Learn how it works, who owns it, and where waste hides.
July 2, 2026