SOLUTIONS

Empower teams with
AI optimization

Augment your engineering team’s capabilities, save time, and
boost job satisfaction with intelligent, scalable Databricks
compute optimization

Easily see if Gradient or an employee made a specific optimization

AI to save engineering time

Unburden your engineers from manual cluster optimization and save 10 hours
per data engineer every week

Effortless cost savings

Address concerns about compute high costs without diverting engineers from product development. Let Gradient do all of the heavy lifting and recommend the right actions for the team to take to cut costs, or even auto-apply them.

 

Meet your SLAs as the lowest price point with Gradient

Boost happiness and productivity

Free engineers from the tedious, frustrating process of manual cluster tuning. Gradient’s ML models are fine-tuned to your workloads, so the recommendations are bound to move the needle.

See the impact of Gradient on compute costs and performance

One engineer, thousands of Jobs

Empower a single engineer to optimize thousands of Databricks jobs simultaneously with little to no effort. Achieve unprecedented efficiency and scale with Gradient’s machine-learning powered optimization. 

With Gradient's ML-powered recommendations a single engineer can optimize 1000s of jobs

Complex data pipelines

No pipeline is complex. Gradient can help cut costs while obeying SLAs. Even if: you have cyclic data, seasonal changes, unknown data sizes, jobs running on multiple clusters simultaneously, or other intricate data pipelines.

Optimize cyclic data pipelines and variable sized data pipelines with Gradient

Customized
co-pilot/autopilot

Provide your team with custom tailored, AI-driven recommendations. Engineers can choose whether to review and implement optimizations with a click to maintain control while saving time, or fully automate the process.

Gradient support co-pilot and autopilot modes for flexible automation

Continuous learning and Improvements

Guided learning. Gradient provides detailed recommendations and optimization audit logs with explanations to help engineers understand the reasoning and impact of each optimization, enhancing their skills over time.

Closed-loop feedback ensures our models improve over time

Works with what you have

Gradient works with Databricks, Azure,  AWS, Azure Datafactory, and Airflow out of the box. Additional integrations are coming soon, and you can build your own using our robust REST APIs.

Gradient was built to work with your data stack

Reliable and secure

Gradient is SOC 2 type II compliant and makes absolutely no changes to your code. Gradient only controls your jobs’ compute configuration – there’s no risk to your data or business logic.

Gradient only makes changes to your compute clusters, not to your code, or data
Forma.ai

I’d be surprised if there was any data team on the planet that wouldn’t save money and time from using Gradient.


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Jesse Lancaster, CTO, Forma.ai

Insider

“Gradient is an excellent tool that delivers real results that you can see in your monthly [data infrastructure] bill.”


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Deniz Parmaksız, Sr. Data Engineer, Insider

Abnormal

“With automated optimization and scalable solutions, Gradient guarantees seamless pipeline operation.”


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Blaine Elliot, Data Engineer, Abnormal


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Happier engineers, increased productivity, and reduced commute costs with ML-powered cluster optimization