Fresh off a new funding round which includes strategic cloud partner Microsoft, Databricks continues to make huge strides in its mission to ease Spark complexity and simplify analytics through its Unified Analytics Platform. Databricks has also graduated from “visionary” to “leader” in the latest Gartner Magic Quadrant for Data Science and Machine Learning Platforms in 2020. With this latest investment and recognition, Databricks is rapidly meeting the demands of enterprise AI development across the globe for organizations like Shell Oil and Nielsen.
Unravel has recognized this growing demand for Azure Databricks in 2019, and released Unravel for Azure Databricks to help customers achieve superior monitoring, tuning and guided troubleshooting for Spark on Azure Databricks. Since then, we have heard from many customers who would like better control and visibility to rising Azure Databricks costs. We are happy to announce that Unravel will be adding a number of customer requested features to bolster cost management and cloud migration support as well as provide detailed architectural recommendations to help customers maximize their Azure Databricks investments.
Furthermore, we are excited to announce Unravel for Azure Databricks is now on the Azure Marketplace! Users can begin a free trial of Unravel for Azure Databricks in a matter of minutes to collect and distill valuable cost saving insights from their Azure Databricks deployments. To enable you to try Unravel for Azure Databricks risk free, we are providing $2000 in Azure credits just for trying the offer. Cloud marketplaces are quickly becoming the preferred way for organizations to procure, deploy and manage enterprise software. Unravel for Azure Databricks on Azure Marketplace offers one-click deployment of Databricks performance monitoring and management in Azure.
Unravel helps fortune 500 companies in various industries run their big data workloads wherever they may be deployed. In addition, Unravel plans to cover other important upcoming Azure analytics platforms (including Azure Synapse) as part of our roadmap. Regardless of whether you run your data pipelines on premises, in the cloud, or in a hybrid fashion, Unravel can meet you where you run your data.
Learn more about Unravel for Azure Databricks here, watch our launch webinar discussing the new features, and feel free to try Unravel for Azure Databricks yourself on Azure Marketplace with the $2000 free cloud credit offer.
The full press release can be viewed below.
Unravel Introduces Workload Migration and Cost Analytics Solution for Azure Databricks
Available for Free Trial now on the Azure Marketplace
PALO ALTO, Calif. – February 25, 2020– Unravel Data, the only data operations platform providing full-stack visibility and AI-powered recommendations to drive more reliable performance in modern data applications, introduced new migration, cost analytics and architectural mapping capabilities for Unravel for Azure Databricks, which is now generally available from Unravel and in the Azure Marketplace. The move further solidifies Unravel’s mission to support modern data workloads wherever they exist, whether on-premises, in the public cloud or a hybrid setting.
“With more and more big data deployments moving to the public cloud, Unravel has spent the last several years helping to simplify the process of cloud migration as well as improving the management and optimization of modern data workloads once in the cloud. We have recently introduced platforms for all major public cloud platforms,” said Bala Venkatrao, Chief Product Officer, Unravel Data. “This release, highlighted by the industry’s only slice and dice migration capabilities, makes it easier than ever to move data workloads to Azure Databricks, while minimizing costs and increasing performance. The platform also allows enterprises to unify their data pipelines end-to-end, such as Azure Databricks and Azure HDInsight.”
Unravel for Azure Databricks delivers comprehensive monitoring, troubleshooting, and application performance management for Azure Databricks environments. The new additions to the platform include:
- Slice and dice migration support – Unravel now includes robust migration intelligence to help customers assess their migration planning to Azure Databricks in version 188.8.131.52. Slice and dice migration support provides impact analysis by applications and workloads. It also features recommended cloud cluster topology and cost estimates by service-level agreement (SLA), as well as auto-scaling impact trend analysis as a result of cloud migration.
- Cost analytics – Unravel will soon add new cost management capabilities to help optimize Azure Databricks workloads as they scale. These new features include cost assurance, cost planning and cost forecasting tools. Together, these tools provide granular detail of individual jobs in Azure Databricks, providing visibility at the workspace, job, and job-run level to track costs or DBUs over time.
- Detailed architectural recommendations: Unravel for Azure Databricks will soon include right-sizing, a feature that recommends virtual machine or workload types that will achieve the same performance on cheaper clusters.
Unravel for Azure Databricks helps operationalize Spark apps on the platform: Azure Databricks customers can shorten the cycle of getting Spark applications into production by relying on the visibility, operational intelligence, and data driven insights and recommendations that only Unravel can provide. Users enjoy greater productivity by eliminating the time spent on tedious, low value tasks such as log data collection, root cause analysis and application tuning.
In addition to being generally available directly from Unravel, Unravel for Azure Databricks is also available on the Azure Marketplace, where users can try a free trial of the platform and get $2000 in Azure credits. Cloud marketplaces are quickly becoming the preferred way for organizations to procure, deploy and manage enterprise software. Unravel for Azure Databricks on Azure Marketplace offers one-click deployment of Databricks performance monitoring and management in Azure.
About Unravel Data – Unravel radically simplifies the way businesses understand and optimize the performance of their modern data applications – and the complex pipelines that power those applications. Providing a unified view across the entire stack, Unravel’s data operations platform leverages AI, machine learning, and advanced analytics to offer actionable recommendations and automation for tuning, troubleshooting, and improving performance – both today and tomorrow. By operationalizing how you do data, Unravel’s solutions support modern big data leaders, including Kaiser Permanente, Adobe, Deutsche Bank, Wayfair, and Neustar. The company is headquartered in Palo Alto, California, and is backed by Menlo Ventures, GGV Capital, M12, Point72 Ventures, Harmony Partners, Data Elite Ventures, and Jyoti Bansal. To learn more, visit unraveldata.com.
The name Unravel Data is a trademark of Unravel Data™. Other trade names used in this document are the properties of their respective owners.
Jordan Tewell, 10Fold