Unravel

At Unravel, we empower data teams to harness their data's full potential.

Unravel's purpose-built data observability and FinOps platform helps data teams go beyond observing issues to taking quick action for transformative results.

08/05/2026

What actually happens when you switch on autonomous optimization in production?

Tomorrow at 2pm ET, Prajakta Kalmegh, our Head of AI, is sharing what happened when a large enterprise autonomously applied Databricks optimizations: what worked, what didn't, and what we'd do differently. 30 minutes, and registrants get the recording.

Register: https://ow.ly/J4YS50Zut3O

07/29/2026

You found the savings. Capturing them is the hard part.

Every Databricks optimization needs engineering time, review, and someone willing to accept the risk of something going wrong downstream. So the backlog grows faster than anyone can clear it. On August 6th, Prajakta Kalmegh, our Head of AI, will show you how one of our enterprise customers cleared theirs with automation that earned trust step by step. 30 minutes.

Save your seat: https://www.unraveldata.com/lp/databricks-optimization-webinar

07/23/2026

The hardest part of autonomous optimization is deciding when the software gets to act without you.

Join us on August 6th at 2pm ET for a 30-minute session: the engineering choices, the guardrails, and the trust model that allowed one of our enterprise customers to apply Databricks optimizations autonomously in production.

Register: https://www.unraveldata.com/lp/databricks-optimization-webinar

04/17/2026

BigQuery charges for how much data a query scans, not how long it runs.

A fast but sloppy query can scan an entire 10 TB table and cost A LOT. A well-written query reads only the rows and columns it needs, and answers the same question for a fraction of the cost.

The same workload on the same tables can look like “usage growth” when the real issue is sloppy query design. Unravel Data makes these visible and fixable by inspecting BigQuery workloads, surfacing wasteful scans, and giving clear, line-by-line recommendations for disciplined, efficient queries.

04/10/2026

Dashboards only tell you when you have a fever, they don't give you the medicine. Most data finOps tools show you're spending too much, but for data engineers, it's not helpful. That's why Unravel shows you cost spikes, and also tells you exactly the specific code and configuration changes needed.

04/08/2026

Standard finOps tools are not built for data pipelines. They can see the "building", not the "people" inside. To distinguish between a $5,000 rogue query and a $5,000 critical AI pipeline, you need a tool that can read the Spark or SQL code inside your clusters. That's where a tool like Unravel comes in.

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https://www.unraveldata.com/

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