SOLUTIONS

ML-powered
cluster management

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 our advanced algorithms to automatically optimize your clusters, or review recommendations and apply optimizations in a click. 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

Get tailored recommendations to reduce costs, based on fully customized machine-learning models. Click to apply each recommendation, auto-apply for optimization at scale.

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.

Cost and runtime
control

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.