Databricks Cost Optimization at Scale
Reduce Databricks spending to reduce waste by up to 70% with automated cost optimization and predictable budgets.
AI-Native Performance Optimization for Databricks
Unravel Data is the AI-native platform for Databricks cost optimization. Our intelligent FinOps Agent works alongside your team to automatically reduce wasted Databricks spending, prevent cost overruns before they happen, and optimize resource allocation across every workspace. With deep Databricks cost observability and agentic AI, Unravel helps you achieve up to 70% reduction in wasted spend while maintaining performance at scale.
Built on years of research and proven with Fortune 500 companies, Unravel’s comprehensive knowledge graph analyzes Databricks cluster configurations, job execution patterns, and resource utilization to deliver precise, actionable cost optimization recommendations. Unlike traditional tools that only monitor and alert, Unravel moves beyond observing cost issues to actively preventing and fixing them through automated optimization.
How mature is your data platform FinOps practice?
We built a quick assessment that helps you cut through the noise. It takes about two minutes, covers the five dimensions that matter most for data platform FinOps, and gives you a personalized view of where you stand and what to focus on next.
AI-Native Cost Optimization for Databricks
When to Use Databricks Serverless vs Classic Compute
Databricks Interactive Clusters Ultimate Decision Framework
Preventing Databricks Executor Out of Memory Failures at Scale
Databricks I/O Performance Tuning for Faster Query Execution
5 Data Skew Signals Databricks Teams Miss Every Day
3 Databricks Automatic Termination Challenges Every FinOps Team Faces
Maximizing Databricks Predictive Optimization ROI
5 Ways to Optimize Databricks Cluster Sizing
When to Use Databricks Photon for Maximum Performance
5 Reasons Under-Provisioned Databricks Clusters Go Unnoticed
Preventing Databricks Driver Out of Memory Crashes
Optimizing Databricks Slow Joins Through Join Type Choice
Databricks Partition Pruning Mistakes Costing You Performance
Automating Databricks Slow SQL Detection and Fixes
Databricks Garbage Collection Tuning Detection Made Easy
Resolving Databricks Driver Bottlenecks for Faster Spark Jobs
Eliminating Databricks Data Skew Before It Kills Performance
Get free insights into your Databricks performance, productivity, and projected savings.
Databricks optimization built specifically for today's modern enterprises
“Equifax receives over 12 million online inquiries per day. Unravel has accelerated data product innovation and delivery.”
Complete Databricks Optimization at Enterprise Scale
Cost optimization matters, but it’s only part of getting the most from Databricks. Real optimization means your clusters perform well, your jobs run reliably, and your spending stays predictable. That’s where Unravel’s three AI agents come in.
The FinOps Agent tackles cost reduction and budget control. Cut wasted spending by 70% while maintaining performance. The DataOps Agent handles the firefighting. No more late-night troubleshooting sessions. The Data Engineering Agent optimizes code and configurations automatically.
Built directly on Databricks System Tables, these agents work together to keep your environment running smoothly. You get complete visibility into what’s happening and automated fixes for what needs attention. Whether you’re managing one workspace or dozens, Unravel scales with your Databricks deployment.
Commonly asked questions about our platform for Databricks cost optimization
Databricks optimization gives you complete visibility into how your data pipelines and systems are performing across your entire data stack. Modern Databricks data teams need data platform optimization tools because optimizing data reliability, pipeline performance, and spending manually is nearly impossible with today's complex, distributed environments. A solid Databricks optimization solution helps teams catch problems before they hurt business operations, optimize how resources get used, and make sure reliable data reaches decision-makers when they need it.
Unravel for Data Platform Optimization works perfectly for data-driven enterprises looking to optimize data performance, speed up data-driven insights, and optimize cloud spending. Our data platform optimization software is built for organizations that depend on analytics from complex data pipelines handling massive amounts of data across modern, intricate data stacks. What separates us from other Databricks optimization companies is our AI-native approach that goes beyond monitoring to provide actionable automation and optimization.
Unravel for Databricks Optimization offers hundreds of powerful capabilities that help data teams troubleshoot issues, optimize performance, migrate workloads, and control costs. Our Databricks optimization tools provide comprehensive monitoring, automated root cause analysis, intelligent cost optimization, and proactive issue prevention. Ready to see what our Databricks optimization solutions can do?
Here's how you can get started:
• Get a Free Databricks Health Check Report
• Explore our Self-Guided Interactive Tours
• Book a Personalized 30-Minute Live Demo
Organizations using Unravel for Databricks Optimization typically see significant cost reductions. Our customers report cutting wasted cloud data costs by up to 70% within six months while maintaining or optimizing Databricks performance. The FinOps Agent can automatically find Databricks cost optimization opportunities, implement governance policies, and provide detailed chargeback and showback tracking to keep costs under control. These results show why investing in the right Databricks agents delivers measurable ROI.
At the FinOps Crawl phase, the data will be less granular. You may start at the cloud provider and service level. In the Walk phase, you'll want additional granularity to go into the application level. If FinOps data is only available at the cluster or infrastructure level, you may face challenges with allocation. In the Run phase, you may need to get to the user, project, and job level.
Real-time monitoring and alerting with Databricks Overwatch requires a time-series database. Databricks refreshes your billable usage data about every 24 hours and AWS Cost and Usage Reports are updated once a day in comma-separated value (CSV) format. Since Cost Explorer includes usage and costs of other services, you should tag your Databricks resources and you may consider creating custom tags to get granular reporting on your Databricks cluster resource usage. Unravel simplifies this process with Cost 360 for Databricks to provide full cost optimization, budgeting, forecasting, and optimization in near real time.
Many enterprises are facing this exact situation, experiencing performance and cost issues migrating on-premises workloads to Databricks. On-prem workloads are naturally limited in terms of cost due to the physical constraints of their data center, but costs can suddenly grow on the cloud. Enterprises that have successfully migrated to Databricks start by optimizing jobs before moving them to the cloud to ensure they can predict the spend and performance.
Databricks offers general tips and settings for certain scenarios, for example, auto optimize to compact small files. Unravel provides recommendations, efficiency insights, and tuning suggestions. With a single Unravel instance, you can monitor all your clusters, across all instances, and workspaces in Databricks to speed up your applications, improve your resource utilization, and identify and resolve application problems.
Learn more about Unravel for Databricks Performance Optimization.
Unravel Databricks Agents are AI-powered components that extend traditional Databricks optimization tools by taking automated actions for your team. The FinOps Agent handles Databricks cost optimization and governance within the data platform optimization solution, delivering up to 50% more workloads for the same budget. The DataOps Agent cuts firefighting time by 99% through automated troubleshooting built into our Databricks optimization software. The Data Engineering Agent automates Databricks performance optimization, code reviews, and debugging, making our data platform optimization solution a real AI teammate for your data engineering teams.
Learn more about our Agents for Databricks Optimization.
