Databricks observability gives you complete visibility into how your data pipelines and systems are performing across your entire data stack. Modern Databricks data teams need data observability tools because optimizing data reliability, pipeline performance, and spending manually is nearly impossible with today’s complex, distributed environments. A solid Databricks data observability platform 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’s data observability platform works perfectly for data-driven enterprises looking to optimize data performance, speed up data-driven insights, and optimize cloud spending. Our data observability 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 data observability companies is our AI-native approach that goes beyond monitoring to provide actionable automation and optimization.

The main difference between many code generation products currently available is that they are typically based on static code analysis, while Unravel’s Databricks AI Insights Engine uses dynamic code analysis–meaning that its review of code and SQL is based on more than just the code itself, but also the data layout, table structure, partitioning, and other metadata. Unravel also analyzes your code’s runtime performance and efficiency to enhance recommendations.

Unravel enables AI-driven innovation with Databricks, such as fraud detection. Unravel is committed to security and focused on keeping our clients and their data safe. Unravel’s data observability software is SOC 2-compliant and has earned a Service Organization Control (SOC) 2, Type II certification, ensuring enterprise-grade security standards that data observability companies must meet.

Unravel’s FinOps Agent automatically optimizes Databricks costs through intelligent cluster rightsizing, idle resource detection, code optimization and workload optimization. Rather than just identifying cost issues, Unravel implements fixes automatically based on your governance preferences. You control the automation level, from manual approval to full automation for proven optimizations. Customers typically see 25-35% sustained cost improvements while maintaining performance, with granular cost visibility and budget tracking built natively on Databricks System Tables.

Learn more about Unravel for Databricks Cost Optimization.

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 our AI for Data Observability. 

Unravel’s AI-enabled Databricks data observability platform 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
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