SOLUTIONS

AI to optimize Databricks spend

Save up to 50% on your compute costs with a ML-powered
optimization engine that continuously monitors and
fine-tunes your clusters

Book a demo
See it in action

Cut compute costs by up to 50% with Gradient

AI compute optimization

Save time and money with customized recommendations for cluster optimizations

Save up to 50% on compute costs

Leverage our advanced machine-learning algorithms to automatically identify and implement cost-saving opportunities that dramatically reduce spend.

Automate cluster monitoring

Never miss an opportunity to save. Gradient constantly monitors your Databricks environment, making real-time recommendations to ensure optimal performance and cost-efficiency.

Never miss an opportunity to optimize your compute clusters with Gradient

Control costs
and performance

Easily customize cluster configuration to meet your goals. Whether you aim to minimize costs, meet runtime SLAs, or find the perfect balance, Gradient adjusts your configuration for immediate results.

Fix inefficiencies
and misconfigurations

Instantly detect costly misconfigurations and fix misuses of APC clusters, Photon, and autoscaling that are driving your bill up. Decide whether to review the recommendations, or auto-apply them for scalability.

Instantly detect low hanging fruit with Gradient

Optimize complex workloads

Whether your jobs are unpredictable, regularly vary in size, or follow specific cycles, Gradient ensures your clusters are always optimized for maximum efficiency and cost savings.

Optimize cyclic data pipelines and variable sized data pipelines with Gradient

Automate optimization for scale

Automation is key when you manage +100 jobs. Start with Gradient as a co-pilot to review recommendations and shift to autopilot when ready to automatically optimize your data infrastructure for scale.

Gradient enables a single engineer to manage 1000s of compute clusters

Key
benefits:

Reduce costs, automate cluster optimization, and save
engineering time

Full control over costs

Seamlessly optimize your cluster configuration to your needs. Gradient pulls all the right levers to cut costs while honoring runtime SLAs.

Customize Gradient to your needs using our robust REST API

Custom recommendations

Our models are fine-tuned based on the historical performance of your jobs, so they are 100% customized and seamlessly adapt to your data pipelines.

Gradient automatically logs every recommendation and change

Automated audit logs

Gradient automatically keeps a detailed log of every recommendation and optimization made. You can leverage this for compliance, auditability, or easy 1-click rollbacks.

Gradient supports both co-pilot and autopilot modes

Co-pilot or autopilot

Gradient can provide passive recommendations you can apply in a click, or automatically apply those recommendations as you scale to 100s and 1000s of jobs.

Optimize spend faster and more efficiently with Gradient

Faster time to market

Optimize spend faster with Gradient. Apply multiple optimization recommendations in batches, or enable real-time cluster optimization with the auto-apply function.

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

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

Deniz Parmaksız, Sr. Data Engineer, Insider

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

Blaine Elliot, Data Engineer, Abnormal

Explore
additional
use cases

Get started today

Easily optimize your data infrastructure to maximize ROI, and cut Databricks compute costs by up to 50%

Book a demo

Databricks health check