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Free 2 Minute Data FinOps Assessment
Free 2 Minute Data FinOps Assessment
Unravel’s Context Graph maps every query, virtual warehouse, and Snowpipe job to its exact cost and performance bottleneck. Then autonomously fixes both. No manual tuning. No 3am alerts.With deep Snowflake observability and agentic AI, Unravel delivers continuous optimization at scale while reducing manual tuning and troubleshooting.
A critical pipeline fails or runs hours late. Your team spends the morning hunting a query or warehouse bottleneck that should have been caught automatically. This is reactive ops.
Snowflake credits are growing, but native tools can't connect spend to specific queries or teams. Finance asks for a breakdown. Engineering has no answer.
Spillage, partition pruning failures, inefficient clustering. Diagnosing slow or expensive queries requires deep expertise most teams don't have. Manual tuning takes days and often breaks something else.
A critical pipeline fails or runs hours late. Your team spends the morning hunting a query or warehouse bottleneck that should have been caught automatically. This is reactive ops.
Snowflake credits are growing, but native tools can't connect spend to specific queries or teams. Finance asks for a breakdown. Engineering has no answer.
Spillage, partition pruning failures, inefficient clustering. Diagnosing slow or expensive queries requires deep expertise most teams don't have. Manual tuning takes days and often breaks something else.
"We cut costs by 70% in the first 6 months."
HEAD OF DATA PLATFORM OPTIMIZATION Maersk
Our Free Health Check Report is a native app available in the Snowflake Marketplace and can be installed in just a few clicks—no complex setup required. It delivers unprecedented insights into your Snowflake environment, with no data ever leaving your secure environment.
Right-size and auto-scale warehouses based on actual workload patterns.
Automatically adjusts warehouse size based on query complexity
Optimizes suspend times to balance cost and latency
Right-sizes min/max clusters for concurrency needs
Identifies opportunities to merge underutilized warehouses
Rewrite queries for maximum performance and minimum cost.
Optimizes SELECT statements, JOINs, and filters
Identifies frequently-run expensive queries
Maximizes cache hit rates for repeated queries
Ensures queries only scan necessary micro-partitions
Optimize table structure and clustering for better performance.
Identifies optimal clustering keys for your access patterns
Ensures maximum compression ratios
Balances retention needs with storage costs
Recommends efficient use of clones vs copies
Complete visibility and control over Snowflake spending.
Track spend by user, team, department
Know exactly what each query costs
Set and monitor budgets with predictive alerting
Automatic cost allocation for internal billing
We’ll show you exactly where you’re overspending, and the projected savings from fixing it.
This is an actual optimization Unravel applies autonomously. No pull request, no manual review needed.
-- Join without filter pushdown -- Scans full orders table before joining SELECT o.order_id, c.customer_name FROM orders o JOIN customers c -- 8M rows ON o.customer_id = c.customer_id WHERE o.order_date > '2024-01-01' -- No clustering key on event_date -- Scans all micro-partitions in table SELECT * FROM events WHERE event_date > '2024-01-01' -- Warehouse runs at XL for all queries -- Idle 70% of the time, credits wasted ALTER WAREHOUSE analytics_wh SET WAREHOUSE_SIZE = 'X-LARGE' AUTO_SUSPEND = 3600
-- Filter pushed down before join -- Reduces join input from 8M to 41K rows SELECT o.order_id, c.customer_name FROM (SELECT * FROM orders_filtered -- 41K rows WHERE order_date > '2024-01-01') o JOIN customers c ON o.customer_id = c.customer_id -- Clustering key added on event_date -- Scans 4 of 892 micro-partitions SELECT * FROM events WHERE event_date_cluster > '2024-01-01' -- Unravel right-sizes warehouse -- AUTO_SUSPEND set to 60s, saves 34% ALTER WAREHOUSE analytics_wh SET WAREHOUSE_SIZE = 'LARGE' AUTO_SUSPEND = 60
“Unravel cut our cloud data costs by 70% in six months—and kept them down.”
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“Equifax receives over 12 million online inquiries per day. Unravel has accelerated data product innovation and delivery.”
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“Unravel helped us improve the platform resiliency and availability multiple fold.”
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Snowflake observability provides end-to-end insight into the health of your data pipelines and systems. For modern data teams, observability 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’s data observability platform 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 observability solutions, Unravel takes an AI-native approach that not only monitors environments but also delivers automated recommendations and real-time optimizations.
Unravel’s AI-enabled Snowflake data observability platform 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 data optimization platform 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 observability 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 Observability.
Unravel’s Snowflake data observability platform 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 observability 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 data observability tools by taking automated actions for your team. The FinOps Agent handles Snowflake cost optimization and governance within the data observability platform, 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 data observability software. The Data Engineering Agent automates Snowflake performance optimization, code reviews, and debugging, making our data observability platform a real AI teammate for your data engineering teams.
Learn more about our Agents for Snowflake Observability.
Yes. 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.
Learn more about Unravel for Data Quality & Reliability.
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’s Snowflake observability platform 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.
The time required to implement Unravel’s data observability platform depends on deployment type and internal security processes. SaaS environments can typically be running within hours once approvals are cleared, giving teams the fastest time to value. Deployments in a VPC or on-premises usually take one to two weeks, with total duration influenced by your organization’s infosec and compliance reviews. Most customers begin seeing insights within days of completing their internal approvals.
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 observability platform 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.