Unravel Data

Founded by Kunal Agarwal in 2016

Automatically tune and reduce cloud compute costs across big data workloads

Pricing model

Demo, Paid

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Unravel to monitor and manage big data workloads across systems like Databricks, Snowflake, and BigQuery. The service analyzes query performance, pipeline execution, and cluster sizing to find inefficiencies that drive up cloud bills. It automatically rewrites slow queries, adjusts compute cluster sizes, and fixes memory allocation issues before they trigger budget alerts. Teams can track usage across departments, pinpoint root causes for delayed data jobs, maintain service level agreements, and prevent unexpected spending spikes across their distributed data infrastructure.

What Unravel Data does

Rewrite inefficient SQL queries automaticallyResize Databricks and Snowflake compute clustersDetect runaway cloud spend anomalies in real timeTrace performance bottlenecks to specific lines of codeAllocate compute costs directly to specific projects and teamsRoll back automated configuration changes if downstream errors ariseMonitor data pipeline completion times against set SLAsAutonomous query rewrites that speed up execution without manual tuningFull context graph tracing relationships across queries, clusters, jobs, and teamsAutomated validation loop that reverts configuration changes if unexpected issues occurContinuous cluster and warehouse rightsizing to stop resource overprovisioningReal-time spend anomaly detection to prevent surprise cloud billsWorkload level root-cause diagnosis for failed jobs and missed SLAsAutomated slot and warehouse scheduling across multi-tenant environments

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Databricks

Snowflake

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