SOLUTIONS
Extensive Databricks
cost analysis
Gain unparalleled visibility into your Databricks compute
spend and performance metrics with AI.

AI-based cost analysis
Gain complete visibility and control over Databricks compute costs
Understand
Databricks spend
View your total spend and track daily costs in one glance. Drill down to job-level reports for further analysis to for a better understanding of job costs and performance.

Analyze job
costs and metrics
Analyze costs by customer, app-id, or custom tags. Access detailed Spark metrics for every job to assess cost with performance indicators.

Instantly detect
inefficiencies
Identify your most expensive jobs and pinpoint inefficiencies in your data infrastructure. Use the free health check notebook to see your 10 most expensive jobs and identify opportunities for optimization in minutes.

Gain customized
actionable insights
Get tailored recommendations to reduce costs, based on fully customized machine-learning models. Click to review and apply each recommendation, or fully automate for optimization at scale.

Use historical
cluster metrics
Cross-correlate historical records of cluster configurations and Spark metrics with cost and runtime data to gain a holistic picture of the performance of your data pipelines.

Track Airflow and
Azure data factory
Connect the dots between job runs, costs, performance, and cluster configuration, even when using data orchestrators or DAGs with multiple tasks.

Key
benefits:
Gain complete visibility, cut
compute costs, and save
engineering time

Complete cost visibility

Spark metrics

Root cause analysis

Team augmentation

Free health check

I’d be surprised if there was any data team on the planet that wouldn’t save money and time from using Gradient.
Jesse Lancaster, CTO, Forma.ai
Explore
additional
use cases
Get started today
Don’t let Databricks costs spiral out of control. Get the visibility you need and easily optimize your data infrastructure to maximize ROI with AI.