Autonomous Databricks Optimization

AI-Native Cost Optimization for Snowflake

Data intelligence fabric chart

Unravel Data is the AI-native platform for Snowflake cost optimization. Our intelligent FinOps Agent works alongside your team to automatically reduce wasted Snowflake spending, prevent cost overruns before they happen, and optimize resource allocation across every warehouse. With deep Snowflake 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 Snowflake warehouse sizing and 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.

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EXPERT INSIGHTS & BEST PRACTICES

AI-Native Cost Optimization for Snowflake

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SNOWFLAKE HEALTH CHECK REPORT
Get free insights into your Snowflake performance, productivity, and projected savings.
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Customer Stories

Snowflake cost optimization built specifically for today's modern enterprises

“Unravel cut our cloud data costs by 70% in six months—and kept them down.”

“Equifax receives over 12 million online inquiries per day. Unravel has accelerated data product innovation and delivery.”

“Unravel helped us improve the platform resiliency and availability multiple fold.”

COMPREHENSIVE SNOWFLAKE OPTIMIZATION

Complete Snowflake Optimization at Enterprise Scale

Unravel platform architecture diagram

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 Snowflake cost optimization

What is Snowflake data platform optimization, and why do modern data teams need data platform optimization tools?

Snowflake optimization provides end-to-end insight into the health of your data pipelines and systems. For modern data teams, optimization tools are essential because managing reliability, performance, and cost manually is nearly impossible in today's distributed Snowflake environments. With the right platform in place, teams can detect issues before they disrupt operations, optimize resource usage, and ensure accurate, trustworthy data is always available for decision-making.

Why do enterprises consider Unravel one of the best solutions for Snowflake data platform optimization?

Unravel for Data Platform Optimization is designed for enterprises that rely heavily on data to drive decisions. It helps accelerate insights, improve performance across complex data pipelines, and control cloud costs. Unlike traditional Snowflake optimization solutions, Unravel takes an AI-native approach that not only monitors environments but also delivers automated recommendations and real-time optimizations.

What are Unravel's top Snowflake optimization capabilities?

Unravel for Snowflake Optimization offers hundreds of powerful capabilities that help data teams troubleshoot issues, optimize performance, migrate workloads, and control costs. Our Snowflake optimization tools provide comprehensive monitoring, automated root cause analysis, intelligent cost optimization, and proactive issue prevention. Ready to see what our Snowflake optimization solutions can do?

Here's how you can get started:

• Get a Free Health Check Report
• Explore our Self-Guided Interactive Tours
• Book a Personalized 30-Minute Live Demo

What kind of cost savings can organizations expect from implementing a Snowflake optimization solution?

Organizations using Unravel for Snowflake 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 Snowflake performance. The FinOps Agent can automatically find Snowflake 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 Snowflake agents delivers measurable ROI.

What should be the granularity of the FinOps data?

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.

Learn more about cost governance

How should organizations control Snowflake costs from over-provisioning and under-utilization?

Many enterprises are facing this exact situation, experiencing performance and cost issues migrating on-premises workloads to Snowflake. 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 Snowflake start by optimizing jobs before moving them to the cloud to ensure they can predict the spend and performance.

Can Unravel monitor spending to ensure data workloads stay within budgets?

Yes. Unravel helps you allocate, track, and manage costs with pinpoint precision. Unravel helps you break down and allocate costs by department, team, workload, application, and even down to the individual query or user level.

Learn more about Unravel for Cloud Cost Management & FinOps.

How can Unravel help me optimize my Snowflake performance?

Snowflake provides configuration options and best practices for optimization. Unravel goes further with automated recommendations, efficiency insights, and tuning suggestions across your entire Snowflake environment to speed up queries, improve resource utilization, and resolve performance issues.

Learn more about Unravel for Snowflake Performance Optimization.

Is it possible to get the insights based on Tag or schema? For Eg. Schema can be a Business Unit or a specific Function like HR?

Yes, Unravel works with your existing Snowflake warehouse tags, and you can create custom labels for Snowflake compute or search using Query DSL (Domain Specific Language) to align with your business functions.

How do Unravel AI Agents enhance Snowflake optimization?

Unravel Snowflake Agents are AI-powered components that extend traditional Snowflake optimization tools by taking automated actions for your team. The FinOps Agent handles Snowflake 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 Snowflake optimization software. The Data Engineering Agent automates Snowflake 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 Snowflake Optimization.