FEATURES

Jobs compute control plane

Gain unprecedented visibility and control over your Databricks Workspace with Gradient’s single pane of glass for compute
costs and performance

Gradient is your control plane for jobs compute

AI-based insights

Actionable insights into your data infrastructure and customized optimizations

Centralized dashboard
for your jobs

Get a birds-eye view of your Databricks Workspace. Track total spend, total savings with Gradient, engineering hours saved, rate of SLAs met, and ROI all in one place. 

 

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

Job-specific
return on investment

See how Gradient is doing. Access a detailed report on the initial state of your clusters and their current state, covering parameters such as data size, costs, costs per gigabyte, and spot market.

Understand ROI by job and across your entire Databricks Workspace with Gradient

Control SLAs,
not cluster settings

Gradient allows users to simply set their desired runtime SLAs and walk away. The AI does all of the heavy lifting involved in finding the right cluster configuration to consistently hit your SLAs without at the lowest price point. 

Set an SLA for Gradient to meet and it will hit it a the most cost-effective rate

Surfacing
low-hanging fruit

Identify your most expensive jobs and key optimization opportunities. Gradient’s machine learning models are fine-tuned using historical cluster metrics to ensure recommendations are tailored to your workloads.

Identify jobs to optimize and other low hanging fruit

Detect inefficiencies
and misconfigurations

Gradient helps you pinpoint inefficiencies, misconfigurations, and misuses of compute resources. See misuses of APC, Photon, and autoscaling, across your workspace. Discover compute cluster optimization opportunities with Gradient.

Instantly detect low hanging fruit with Gradient

Granular
cost analysis

Understand your Databricks spend at a granular level. Analyze costs by job, customer, app ID, or other tags within the same job. Easily identify which customers are driving up costs and which are optimizing their usage.

Analyze costs by customer, app-id, or other tags

Multi-dimensional reports

See job costs by customer, app-id, or any other custom tag. Analyze detailed Spark metrics per job and cross-reference them with job cost with performance indicators to get a holist view of the performance of your data pipelines.

Multi-dimensional analysis with Gradient

Transparent optimization

See exactly how Gradient tunes every cluster configuration and the impact of each optimization. Every change and recommendation is automatically logged for simplified compliance and auditability.

Identify root causes in minutes with Gradient

Works with your data tools

Track cluster performance even when using data orchestrators like Airflow, Azure Data Factory, or Dagster. Connect. Assess job performance across several runs, even if your DAGs have multiple tasks.

Gradient was built to work with your data stack

Databricks health check

Get instant insights into your compute infrastructure with our free Databricks Workspace health check. Identify your top 10 expensive jobs, optimization opportunities, and understand your current cost and performance landscape.

Free Databricks Workspace health check
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

 

Get started today

Leverage purpose-built AI with advanced machine-learning models to take your compute to the next level