Data observability gives you complete visibility into how your data pipelines and systems are performing across your entire data stack. Modern data teams need data observability tools because tracking data reliability, pipeline performance, and cost optimization manually is nearly impossible with today’s complex, distributed environments. A solid data observability solution 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.

FinOps maximizes business value from cloud investments through teamwork between engineering, finance, and business groups. The term mixes “Finance” and “DevOps,” showing how cross-functional collaboration manages cloud costs effectively. FinOps brings financial accountability to cloud spending, helping teams make smart trade-offs between speed, cost, and quality. Instead of just cutting costs, FinOps helps organizations optimize cloud investments for maximum business value while keeping performance and innovation strong. A data observability tool like Unravel boosts FinOps practices by providing detailed cost visibility and automated optimization capabilities. Explore our recent thought leadership: Building a FinOps Ethos

A data observability platform monitors, analyzes, and optimizes data systems across your complete technology stack. Unlike basic monitoring tools, a modern data observability platform gives you end-to-end visibility from when data comes in through processing and final use. It works by gathering telemetry data, metrics, and metadata from every part of your data infrastructure, then uses AI and machine learning to spot patterns, catch problems, and give you actionable insights for better performance and cost management. Learn more about our data observability platform.

Unravel’s data observability software works across hybrid and multi-cloud environments with complete support for major platforms including Databricks, Snowflake, Google Cloud BigQuery, Amazon EMR, and other modern data stack systems. Our data observability software covers AWS, Google Cloud, Azure, and on-premises deployments comprehensively, making it one of the most flexible data observability solutions for enterprises with diverse technology stacks.

Unravel’s 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 data observability tools works perfectly for data-driven enterprises looking to improve 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 data observability companies is our AI-native approach that goes beyond monitoring to provide actionable automation and optimization.

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

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Unravel Agents are AI-powered components that extend traditional data observability tools by taking automated actions for your team. The FinOps Agent handles cost optimization and governance within the data observability 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 data observability software. The Data Engineering Agent automates performance optimization, code reviews, and debugging, making Unravel a real AI teammate for your data engineering teams. Learn more about our AI for Data Observability Platform.

Unravel brings years of experience developing a comprehensive knowledge graph alongside AI and ML techniques for cost and performance optimization. Our data observability AI agents analyze 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 data 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.Learn more about our AI for Data Observability Platform.

Unravel stands out among data observability options 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 observability tools, our platform integrates app-level usage data to offer detailed chargeback and trend analysis at the workspace, cluster, and user levels. For 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. Learn more about our AI for Data Observability Platform.

Organizations using Unravel typically see significant cost reductions. Our customers report cutting cloud data costs by up to 70% within six months while maintaining or improving performance. The FinOps Agent within our data observability software can automatically find optimization opportunities, implements governance policies, and provides detailed chargeback and showback tracking to keep costs under control. These results show why investing in the right data observability tools delivers measurable ROI. Learn more about Unravel for Cloud Cost Management & FinOps.

Unravel gets rid of the manual work that slows down data teams. Our data observability software automates 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.

Unravel’s offers flexible deployment options to meet your organization’s requirements and security preferences. You can deploy our data observability software as a fully managed SaaS solution for rapid implementation, through cloud marketplace for streamlined procurement and billing, or as an on-premises deployment within your own VPC for maximum control and data residency requirements. This flexibility makes Unravel’s data observability solutions adaptable to any enterprise architecture or compliance framework.

Implementation time for Unravel 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 observability 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 observability software within the first few days after completing their internal approval processes.

Unravel focuses on keeping our clients and their data safe. Our platform manages customer data based on the five SOC trust services criteria: security, availability, processing integrity, confidentiality, and privacy. We use TLS encryption, the same standard used by secure websites, to secure data in transit. 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.