Snowflake, optimized
at every query.
Automatically.
Warehouse rightsizing gets you 20% of the way there. The other 80% is inside queries, Snowpark jobs, and workload patterns no native tool exposes at the depth you need to act. Unravel does it autonomously — credits down, SLAs held, no engineer in the loop.
Unravel sees every query, every Snowpark job, every Dynamic Table refresh. Then rewrites the ones bleeding credits.
Snowflake at scale is thousands of queries across dozens of warehouses. Most tools stop at credit reports. Unravel goes deeper — when Arvix finds the query driving cost or missing SLA, it generates the rewrite, shows the side-by-side diff, validates against a 30-day workload, and lets you AutoApply or send for review.
Same problem. Two very different outcomes.
Pick a scenario. See what happens with your LLM — and with Arvix.
Always on. Always fixing.
Three agents. Every Snowflake problem category. They act — or ask — depending on how much autonomy you want.
You probably already have tools. Here's where they stop.
Every category solves part of the problem. Unravel is the only one that closes the loop.
Enterprise teams. Proven results.
Running Snowflake at scale across financial services, retail, healthcare, and beyond.
“We’d spent over two years rightsizing warehouses by hand. Unravel prioritized the most inefficient and fixed them for us automatically. We realized $845k in optimization savings in the first 3 months.”
“Three core BI queries kept blowing through our reporting SLAs. Unravel’s data engineering agent traced the root cause, generated the rewrite, and validated the credit savings before we touched production.”
“We had Snowflake’s native tools, a separate monitoring stack, and a FinOps platform for visibility. None of them could tell us which queries to fix. Unravel showed us which ones were most inefficient and then fixed them for us.”
Commonly asked questions about our Snowflake optimization platform
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.
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.
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
Unravel stands out among Snowflake cost optimization solutions by excelling in all three FinOps stages: inform, optimize, and operate. Beyond just providing cost information at the account or project levels like other data optimization tools, our Snowflake optimization solution integrates app-level usage data to offer detailed chargeback and trend analysis at the database, warehouse, and user levels. For Snowflake cost optimization, our data platform optimization software uses AI to find root causes across queries, compute, and storage, delivering specific recommendations for query rewrites and warehouse configuration adjustments that guarantee actionable and effective cost savings.
Learn more about our AI for Data Platform Optimization.
Unravel for Snowflake Optimization works across hybrid and multi-cloud environments with full support for major platforms, including Databricks, Snowflake, Google Cloud BigQuery, Amazon EMR, and other modern data stack systems. The platform covers AWS, Google Cloud, Azure, and on-premises deployments completely, making it an excellent data platform optimization solution for organizations with complex, distributed data architectures.
Unravel's FinOps Agent automatically optimizes Snowflake costs through intelligent warehouse 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 Snowflake System Tables.
Learn more about Unravel for Snowflake Cost Optimization.
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.
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.
Data teams spend most of their time preparing data - data aggregation, cleansing, deduplication, synchronizing and standardizing data, ensuring data quality, timeliness, and accuracy, etc. - rather than actually delivering insights from analytics. Everybody needs to be working off a "single source of truth" to break down silos, enable collaboration, eliminate finger-pointing, and empower more self-service. Unravel automatically integrates and correlates external data quality checks with AI-driven insights. For example, you can drill down into quality check results, timelines, lineage, partitions, schema, usage, size, users, and more.
Yes. Snowflake pricing is based on virtual warehouse (compute) size, cloud services, data storage, and other factors. Compute usage is billed on a per-second basis (minimum of 60 seconds). You can also pre-purchased Snowflake capacity to reduce processing costs. Estimate Snowflake costs online with the credit consumption and pricing tables.
Learn more about Unravel for Cloud Cost Management & FinOps.
Unravel's Snowflake Health Check displays costs for compute and storage resources, highlighting inefficiencies and potential savings from optimization. Visit the Cost page to view time-series data and cost breakdowns across users, warehouses, and business units through Tag groupings. The Unravel Dashboard page enables you to build custom dashboards for deeper insights into both cost and performance metrics.
Learn more about Unravel for Cloud Cost Management & FinOps.
Unravel for Snowflake Optimization gives enterprises flexibility in how they deploy. It can run as a fully managed SaaS for fast setup, be purchased through a cloud marketplace for easier procurement, or be installed on-premises in your own VPC for maximum control and compliance. This range of options ensures the platform aligns with any enterprise architecture or security requirement.
Learn more about Unravel for Cloud Migration.
Yes. Unravel provides valuable insights and data relating to your warehouse activities. You can manage and optimize your warehouse activities. You can monitor costs, review trends, and access detailed warehouse information.
Unravel provides granular Insights, recommendations, and automation for before, during and after your Spark, Hadoop, and data migration to Snowflake.
Get granular chargeback and cost optimization for your Snowflake workloads. Unravel for Snowflake is a complete data platform optimization solution to help you tune, troubleshoot, cost-optimize, and ensure data quality on Snowflake. Unravel provides AI-powered recommendations and automated actions to enable intelligent optimization of big data pipelines and applications.
Learn more about Unravel for Cloud Migration.
Implementation time for Unravel for Data Platform Optimization varies by deployment method and your organization's security review process. SaaS deployments can be up and running in minutes to hours once security approvals are in place, providing the fastest time to value for our data platform optimization tools. On-premises or VPC deployments generally require 1-2 weeks, though your infosec process may extend the overall timeline, for complete implementation, plus additional time for security reviews and compliance validation, depending on your organization's requirements. Most organizations begin seeing insights and value from our data platform optimization software within the first few days after completing their internal approval processes.
