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:

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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 workspace, cluster, 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 configuration adjustments that guarantee actionable and effective cost savings.

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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 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. 

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Unravel brings years of experience developing a comprehensive knowledge graph alongside AI and ML techniques for Snowflake cost optimization and Snowflake performance optimization. Our Snowflake observability platform analyzes a complete stack of host metrics and telemetry data, including query metadata, compute details (warehouses, clusters), storage metadata, and network metadata to find root causes of inefficiencies and recommend actionable improvements. Unlike other Snowflake observability tools, Unravel’s proven expertise shows in its success with numerous Fortune 500 companies across different industries, delivering measurable results that distinguish us from other data observability companies.

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Enterprises using Unravel’s Snowflake optimization platform often achieve dramatic savings on data spend. Many customers reduce cloud costs by as much as 70% in the first six months, all while maintaining or even improving Snowflake performance. With the FinOps Agent, teams can automatically uncover cost-saving opportunities, enforce governance controls, and track detailed chargeback and showback data. The outcome is measurable ROI that proves the value of choosing the right Snowflake optimization solution.

Learn more about Unravel for Cloud Cost Management & FinOps.

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 Unravel for Cloud Cost Management & FinOps.

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.

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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.

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.

Snowflake 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 Snowflake to ​​speed up your applications, improve your resource utilization, and identify and resolve application problems.

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Yes, Unravel for Snowflake provides Metadata, KPIs, and Insights. Learn more in our docs here.

Unravel for Snowflake helps automate performance tuning with the Speed, Cost, Reliability Optimizer, which helps data teams quickly tune application performance and improve cost efficiency with AI recommendations. For example, Unravel for Snowflake helps you find slow, failing, and expensive queries, then provides AI-driven recommendations to improve the efficiency and performance. Those recommendations include improvements to code, configuration settings, and even data layout. Unravel also helps users dynamically scale their Snowflake warehouses based on predicted capacity needs to match capacity with demand.

Learn more about Unravel for Operations and Troubleshooting.

Unravel’s Snowflake optimization platform gets rid of the manual work that slows down data teams. Our data observability software automates Snowflake performance optimization, handles routine debugging tasks, and provides intelligent code reviews. This means data engineers spend less time on repetitive troubleshooting and more time building valuable data products. Teams report dramatically reduced time spent firefighting issues and faster resolution of data pipeline problems, showing how effective data observability tools can transform team efficiency. 

Learn more about Unravel for Data Pipeline and App Optimization. 

Yes. Unravel’s CI/CD integration for Snowflake is language-agnostic. It seamlessly integrates with popular programming languages such as SQL, Python, Scala, and Java.

Yes. Unravel’s CI/CD integration for Snowflake supports both Azure DevOps and GitHub. You have the flexibility to choose the platform that best suits your team’s needs.

Yes. With Unravel’s CI/CD integration for Snowflake, you gain access to comprehensive metrics and AI-powered insights about your pipelines’ performance. You can identify and quickly resolve bottlenecks, improve resource efficiency, optimize code, and make data-driven decisions.

Yes. Unravel allows you to tailor the PR review process according to your specific requirements. You can define custom rules, set thresholds for performance metrics, and establish guidelines to ensure code quality.

Yes. Unravel’s CI/CD integration for Snowflake seamlessly integrates with popular automated testing frameworks. You can incorporate unit tests, integration tests, and regression tests into your pipeline to ensure the reliability of your code.

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.

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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.

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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.

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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. 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 data pipelines and data applications.

Learn more about Unravel for Cloud Migration.