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See all granular data details—in a workload-aware context—in one place. Pull in external data quality checks. One-click drill-down into quality check results, timelines, lineage, partitions, schema, usage, size, users, and more.
Get a holistic view of everything that’s going on with an app that fails a data check. Automated insights let you understand exactly what’s impacted downstream, who may have introduced bad data (and where) upstream, and what your next best step is to remediate the issue.
"We’ve put Unravel right in the front of our development environment. So nothing even goes into production unless we know it’s going to work.”
Mark Sear Head of Data Platform Optimization
Avoid data quality issues from wreaking havoc downstream. Automated alerts let you know when—and where—quality checks fail. Customizable user-defined, policy-based AutoActions act as a circuit breaker to kill jobs (or even clusters) before bad data corrupts results.
Now data teams have observability details about performance, cost, and quality in a single pane of glass. Seamlessly integrate the results of external data checks (Great Expectations, AWS Deequ, Google CloudDQ, Azure Data Factory, Databricks, Snowflake) right alongside performance and cost information. No more jumping from tool to tool.
Unravel leverages a knowledge graph that integrates a wide range of cloud and operational data to deliver precise, actionable insights. Our AI’s deep learning capabilities are continuously enhanced by analyzing vast datasets across various cloud environments, keeping us at the forefront of emerging trends in cost management.
The knowledge graph encompasses metadata on cloud spending, resource utilization, workload characteristics, and configuration settings across multiple cloud platforms. This rich, interconnected data enables Unravel’s AI to generate accurate, targeted recommendations that effectively address real-world challenges in cloud operations.
Unravel prioritizes data privacy by ensuring that no data is sent back to your data warehouse, data lake, or lakehouse. Any data transfers are fully controlled by your team and occur only when explicitly configured. Our platform collects only job execution and configuration-related metadata, which is then utilized to generate tailored insights and actionable recommendations. This design upholds strict privacy standards while delivering valuable performance and cost optimization guidance.
Unravel is committed to security and focused on keeping our clients and their data safe. The solution designed by Unravel 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 is SOC 2-compliant, and has earned a Service Organization Control (SOC) 2, Type II certification.
Unravel’s DataOps observability is perfect for data-driven enterprises looking to improve their DataOps and derive value from data faster, more reliably, and at lower cost. If your organization depends on the analytics from complex data pipelines handling large volumes of data across a complex modern data stack, Unravel is for you.
Unravel is deployed in your VPC or your choice of cloud—nothing leaves your environment.
Unravel’s lightweight and agentless adaptive data collection process uses native APIs and sensors to non-intrusively gather intelligence which is negligible—usually under 1%.
The Unravel AI-powered DataOps observability platform has a lot of powerful capabilities to help data teams troubleshoot, optimize, migrate, and control the costs of their modern data workloads. Best first step to get a taste of what Unravel can do for you is to check out our self-paced guided tours here.
You sure can. Unravel is free for your first 50K DBUs/node hours. Get started here.
And you can always book a personalized 30-minute live demo with one of our experts here.