SOLUTIONS

Effortless root cause analysis

Gain full visibility into the cost, performance, and configuration of your Databricks jobs. Detect historical trends and understand anomalies at a glance

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See it in action

Seamlessly identify root causes for anomalies with Gradient

ML-powered insights

Instantly identify root causes and understand the impact of optimizations on
job costs and runtimes

Instant insights

Quickly identify root causes for any runtime and cost anomalies. See how jobs perform over time, and how changes in data sizes and configuration impact performance.

Instantly detect the reason behind your cost and/or performance anomalies

Advanced root cause analysis

Understand the source of performance issues or cost spikes. Quickly determine whether variations in data size, cluster configurations, compute instances, etc. are the cause.

Identify root causes in minutes with Gradient

Granular job-level metrics

Unravel the complexity of Databricks compute. Gradient continuously monitors your jobs and provides you with the information you need to understand and optimize your compute infrastructure.

Multi-dimensional analysis

Understand job costs and performance by customer, app ID for, or any custom tag. Gradient enables you to gain granular insights into your data operations.

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

Spot market cluster impact

See the impact the unpredictable Spot market has on the cost and runtime of your jobs. Quickly learn if the cost reduction of spot outweighs the impact on runtime to evaluate ROI.

Analyze Spot vs on demand cluster performance

Key
benefits:

Deep insights, precise control,
and all the details

Complete visibility into Databricks Jobs

Complete
transparency

Gradient keeps full audit trails automatically. See exactly what changed, when, and by whom in a couple of clicks

Time saving
optimization engine

Our models are fine-tuned to your jobs, so Gradient can recommend the most efficient configuration for you.

Performance-cost
correlation

Gradient shows how performance metrics relate to costs, helping engineers to make better business driven decisions for their infrastructure.

Fully customizable
ML models

Gradient’s models are job-specific. Every model is fine tuned based on Spark event logs to ensure the recommendations tailored to the company’s data pipelines.

Complete control over Job cost and performance

Flexibile
automation options

Start with Gradient as a co-pilot, and apply recommendations in a click. Seamlessly transition to fully automated cluster optimization when you are ready.

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

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Transform how you manage Databricks clusters with machine learning powered automation

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