Introducing Chaos Genius for Databricks Cost Optimization

Introducing Chaos Genius for

Databricks Cost Optimization. Get started

Product

Platform

Snowflake
Optimize Snowflake Cost & Performance

Databricks
Cost & performance observablity for your Databricks workloads

Features

Cost Allocation & Visibility
Cost attribution across queries, users, warehouses and more.

Instance Rightsizing
Recommendations on optimal Warehouse sizing and configurations for maximum utilization

Query Tuning
Recommendations on query tuning for your most expensive workloads.

Observability: Alerts & Reporting
Email & Slack based alerts on anomalous usage & other insights

Database Optimization
Recommendations on database tuning for optimal performance and storage cost optimization

Data Access & Governance
Coming Soon

Manage roles, users and access control for your data assets
Pricing
Blog
About Us

Chaos Genius Raises $3.3M Seed Round to Help Companies Cut Data Costs up to 30%

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HOW TO: Execute and Run Bash Scripts in Databricks (2025)

Pramit Marattha

Feb 13, 2025 • 19 min read

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HOW TO: Programmatically Access Databricks Cluster ID (2025)

Pramit Marattha

Feb 11, 2025 • 18 min read

4 Databricks SQL Tips to Improve Databricks Data Quality (2025)

Pramit Marattha

Feb 7, 2025 • 16 min read

HOW TO: Get Unique Values in Column—4 PySpark Examples (2025)

Pramit Marattha

Feb 4, 2025 • 26 min read

HOW TO: Enable or Disable File and Result Downloads in Databricks Notebooks (2025)

Pramit Marattha

Jan 30, 2025 • 13 min read

Databricks Logging in Notebooks: 10 Best Practices (2025)

Pramit Marattha

Jan 12, 2025 • 21 min read

HOW TO: Add Multiple Column Comments in Databricks (2025)

Pramit Marattha

Jan 6, 2025 • 16 min read

HOW TO: Delete Folder From DBFS – 4 Techniques (2025)

Pramit Marattha

Dec 26, 2024 • 15 min read

HOW TO: Skip Rows When Reading CSV Files in Databricks (2025)

Pramit Marattha

Dec 25, 2024 • 16 min read

HOW TO: Convert Pandas DataFrame to Table in Databricks (2025)

Pramit Marattha

Dec 21, 2024 • 11 min read

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