Unravel for Azure Databricks Introduced
September 05, 2019
Share this

Unravel Data announced Unravel for Azure Databricks, a solution to deliver comprehensive monitoring, troubleshooting, and application performance management for Azure Databricks environments.

The new offering leverages AI to enable Azure Databricks customers to significantly improve performance of Spark jobs while providing unprecedented visibility into runtime behavior, resource usage, and cloud costs.

“Spark, Azure, and Azure Databricks have become foundational technologies in the big data landscape, with more and more Fortune 1000 organizations using them to build their modern data pipelines,” said Kunal Agarwal, CEO, Unravel Data. “Unravel is uniquely positioned to empower Azure Databricks customers to maximize the performance, reliability and return on investment of their Spark workloads.”

Unravel for Azure Databricks helps operationalize Spark apps on the platform: Azure Databricks customers will 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 will enjoy greater productivity by eliminating the time spent on tedious, low value tasks such as log data collection, root cause analysis and application tuning.

“Unravel’s full-stack DataOps platform has already helped Azure customers get the most out of their cloud-based big data deployments. We’re excited to extend that relationship to Azure Databricks,” said Yatharth Gupta, principal group manager, Azure Data at Microsoft. “Unravel adds tremendous value by delivering an AI-powered solution for Azure Databricks customers that are looking to troubleshoot challenging operational issues and optimize cost and performance of their Azure Databricks workloads.”

Key features of Unravel for Azure Databricks include:

- Application Performance Management for Azure Databricks – Unravel delivers visibility and understanding of Spark applications, clusters, workflows, and the underlying software stack

- Automated root cause analysis of Spark apps – Unravel can automatically identify, diagnose, and remediate Spark jobs and the full Spark stack, achieving simpler and faster resolution of issues for Spark applications on Azure Databricks clusters

- Comprehensive reporting, alerting, and dashboards – Azure Databricks users can now enjoy detailed insights, plain-language recommendations, and a host of new dashboards, alerts, and reporting on chargeback accounting, cluster resource usage, Spark runtime behavior and much more.

Azure Databricks is a Spark-based analytics platform optimized for Microsoft Azure. Azure Databricks provides one-click setup, streamlined workflows, and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts.

An early access release of Unravel for Azure Databricks available now.

Share this

The Latest

January 23, 2020

EMA is about to embark on some new research entitled Data-Driven Automation: A Vision for the Modern CIO. We're trying to piece a puzzle together that so far we don't believe anyone to date has fully done — seek out where and how IT is moving toward integrated strategies for automation in context with real-world objectives and obstacles. We'll be looking at four use cases, each of will no doubt tell its own story ...

January 22, 2020

Many pitfalls await CIOs on the journey to the cloud. In fact, a majority of companies have been only partially successful, while some are outright failing. To learn more about this migration, Business Performance Innovation (BPI) Network surveyed IT and business executives and conducted in-depth interviews ...

January 21, 2020

The online retail industry has yet to have a Black Friday/Cyber Monday weekend unscathed by web performance (speed and availability) problems. Luckily, performance during 2019's hyper-critical online holiday shopping weekend was better than in years past, as we did not see any systemic, lengthy outages. While no website went completely down, several retailers did experience significant problems. Why have online retailers yet to figure out how to be crash-free during this all-important peak traffic period? We've identified several reasons for this ...

January 16, 2020

Gartner highlighted the trends that infrastructure and operations (I&O) leaders must start preparing for to support digital infrastructure in 2020 ...

January 15, 2020

Edge computing usage is starting to increase. The obvious follow-up question is, "So, what can I do with edge computing?" I'm glad you asked. There are lots of things you can do ...

January 14, 2020

Industry experts offer predictions on how Network Performance Management (NPM) and related technologies will evolve and impact business in 2020. Part 2 offers predictions about 5G and more ...

January 13, 2020

Industry experts offer predictions on how Network Performance Management (NPM) and related technologies will evolve and impact business in 2020 ...

January 09, 2020

With AI on the edge, companies will more easily monitor desktops, tablets and other end-user devices. AIOps will enable IT to guide employees on improving productivity from the applications installed on their devices while delivering greater visibility and control around the entire IT environment ...

January 08, 2020

2020 will see AIOps adoption going mainstream as use cases crystallize for improving IT efficiencies and supporting faster decision-making. Expect AI-enhanced automation to become smarter and more contextual, move towards the edge, and used increasingly for customer and user experience analysis. Yet there are significant challenges and cautions, which will shape AI's development in not only IT but across business and society ...

January 07, 2020

Industry experts offer predictions on how Digital Transformation will evolve and impact business in 2020 ...