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2 top ways you’re overspending. See where.
Automatically integrate and correlate external data quality checks with AI-driven insights
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.
“With Unravel, I am sleeping a lot easier than I did a year ago.”
Director – Big Data Engineering, Mastercard
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.
30% improvement in app speed, improved cluster utilization, several thousand nodes under management
83% faster troubleshooting translated to 75% faster analytics cycle time
Automated guardrails enable optimizations for 66% lower instance-related costs across 100,000s of apps
We only collect metadata and performance data from the data application jobs themselves. We do not have access to the data stored in your data lake and other databases, and that data is not and cannot be shared with Unravel.
Unravel software can be deployed anywhere, on-premise platforms or cloud platforms, in single-cluster or multi-cluster deployments. Unravel currently supports all major cloud and on-prem platforms, including Databricks, Amazon EMR, BigQuery, Dataproc, Snowflake, Cloudera, and MapR.
Check out our Compatibility Matrix for specific platform versions.
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 2-minute demo videos & 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.