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Monitoring and observability for Google Dataproc and BigQuery

Take the risk out of managing your Google Cloud Platform migration of modern data applications with AI-infused insights.

Google Cloud + Unravel Data = Data Cloud Success

tablet imageWhether you are migrating your data workloads to Google Cloud or building a cloud-native application, Unravel’s AI-enabled end-to-end observability for BigQuery and Dataproc simplifies the challenges of data operations, boosts performance and resource efficiency, optimizes costs, and improves data quality while saving critical engineering time.

Automatically tune and optimize Google Cloud BigQuery and Dataproc.

Monitor and migrate your on-premises Hadoop and Spark apps to GCP and Dataproc with AI-based accuracy

Unravel provides the data-driven intelligence, monitoring and troubleshooting to ensure a successful GCP migration.

The future of big data deployments in the cloud and Google Cloud Platform/Dataproc is rapidly becoming a strategic platform for those looking to get more out of their data. Unravel provides the ultimate visibility and troubleshooting into your on-premises environment and data-driven insights to:

  • Discover, understand and baseline the performance of on-premises clusters.
  • Calculate the optimal compute and storage topology and server instances for GCP. 
  • Validate the success of your GCP migration with detailed application and infrastructure reporting.

Optimize your Google Cloud Dataproc performance and guarantee your SLAs

Unravel provides the essential insights, context, and automation to get the most out of big data on GCP.

Companies that need to run significant data workloads on GCP are constantly looking for ways to run more jobs faster and more efficiently. Unravel delivers critical insights and recommendations needed to provide:

  • End to end monitoring, measurement, and troubleshooting of Kafka, Spark and Hadoop apps.
  • Full stack intelligence for data pipelines that include GCP services like Dataproc, Google Cloud Storage and BigQuery.
  • Detailed insights, plain language recommendations, and auto-tuning of apps to make the most of GCP data services.

Full visibility of Dataproc resources and the ability to evolve GCP usage as your big data goals shift

Understand your Google Cloud modern platform environment as your organizational needs grow.

Companies adopt public cloud services to increase operational agility and to hide the complexity of the underlying software stack. But achieving maximum performance requires an understanding of that complexity. To this end, Unravel provides:

  • Chargeback reporting that provides accurate, detailed accounting of the cost of running data apps on GCP.
  • Understand the effect of users, apps, and cloud infrastructure on your data pipelines on GCP.
  • Views of app performance trends and cluster resource usage to leverage GCP VM Instance, preemptible VMs, and pricing promotions.

Using Unravel, a leading supermarket retailer optimized memory resources.

“As long as their applications run, a lot of our app owners don’t worry about sizing them correctly. With Unravel, we can view actual memory consumption over time to see if executor memory is validated, which helped us introduce new efficiencies.”


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Performance. Cost. Data Quality. Pick Three.