SOLUTIONS

Automatically tune clusters using AI

Optimize your data infrastructure with zero engineering overhead

Gradient automatically manages compute clusters

No fuss cluster optimization

The comfort of serverless with complete control over your compute infrastructure

Effortless
cluster management

Leverage AI optimization to automatically optimize compute clusters for efficiency and cost-effectiveness. Review recommendations and apply them in a click, or fully automate for scale. Either way, Gradient will significantly reduce engineering hours invested in cluster management.

Easily understand your return on investment with Gradient

Zero
engineering overhead

The advantages of serverless without the drawbacks. Gradient handles all of the heavy lifting for you, allowing your team to focus on high-value items that drive your business forward. And with Gradient, you retain full control over your clusters.

Save 10 hours a week per data engineer with Gradient

Cluster configuration guardrails

Instantly identify inefficiencies and misconfigurations. Gradient continuously monitors your jobs’ cluster configurations to detect mistaken use of APCs, Photon, and Autoscaling that are driving your compute costs up.

Instantly detect low hanging fruit with Gradient

Custom tailored optimization

Every job is unique. We pair each job with a machine-learning model that is trained on it to provide tailored optimizations that improve workload speed or reduce compute costs.

Root cause analysis

Easily identify root causes for anomalies in costs or Spark metrics. Explore job-level metrics and automated audit logs to understand the impact of your compute infrastructure configuration on job performance.

Track changes in job performance over time with Gradient

Co-pilot or full automation

Seamlessly switch between co-pilot mode for guided optimization and autopilot mode for full automation. All it takes is a single click. Tailor the level of control to your team’s needs and comfort level.

Gradient supports both co-pilot and autopilot modes

Track clusters orchestrated by Airflow/ADF

Gradient automatically groups and tracks cluster runs by external orchestrators–such as Airflow, Azure Data Factory, or Dagster–showing historical metrics and costs.

Gradient was built to work with your data stack

Key
benefits:

Automate cluster management,
reduce costs, and empower your engineering team.

Cut costs
with AI optimization

Seamlessly optimize your Databricks cluster configurations to meet your needs and performance requirements. Gradient helps you cut cost while honoring strict runtime SLAs.

Analyze detailed Spark metrics for your jobs

Lower TCOs with faster time to market

Get optimal cluster configuration faster and with minimal effort. Gradient continuously monitors and optimizes your clusters, ensuring optimal performance and saving engineering time

Model
fine tuning

Our ML models are fine tuned on your workload patterns and historical performance data, resulting in a 100% customized recommendation engine.

Complete control over Job cost and performance

Flexible
automation levels

Start with passive recommendations and transition to full autopilot mode as you scale on Databricks. Switch between co-pilot and autopilot modes in a click.