Scale Databricks Intelligently
Continuously optimize Databricks Jobs clusters to hit your SLA goals and lower costs by 25-50%











How Gradient helps
Empower platform teams with control
Lower Databricks costs by 25-50%
Hit your SLA’s
no matter what
Monitor for
inefficiencies
code, data, or spot availability/
pricing causes new inefficiencies
Auto Databricks jobs import
Got a lot of jobs? Gradient can automatically fetch all of your qualified jobs and import them
Databricks autoscaling optimization
Whether you use fixed clusters or autoscaling, Gradient is able to optimize both
You set max runtime, we’ll find the lowest cost
Simply set your ideal max runtime and we’ll provide the configuration that hits your runtime goal at the lowest cost
Airflow and Databricks Workflows integrations
New python libraries and quick-start tutorials for Airflow and Databricks Workflows make it easy to integrate Gradient into your favorite orchestrators.
Eliminate waste without sacrificing performance
Gradient continuously monitors your cluster metrics after each job run to let you know of new opportunities for optimization and aggregates data to inform a better recommendation for next time.
See our case studies:
How Insider Reduced their EMR Cost by 25%

Case Study
How Insider Reduced their EMR Cost by 25%
Disney Sr. Data Engineer User Case Study

Case Study
Disney Sr. Data Engineer User Case Study
How Duolingo reduced their EMR job cost by 55%

Case Study
How Duolingo reduced their EMR job cost by 55%
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