Palo Alto, CA, USA
Jan 12, 2021   |  By Kunal Agarwal
Unravel Data is a leader in the emerging field of DataOps, going beyond application performance monitoring (APM) to provide AI-powered recommendations for big data and streaming data applications. Now Unravel is being recognized by banking technology innovator Credit Suisse AG in their prestigious Disruptive Technology Recognition (DTR) program.
Dec 21, 2020   |  By Shivnath Babu
One of the highly anticipated events every year is the keynote from Dr. Werner Vogels at the annual AWS Reinvent conference. As CTO of Amazon, Dr. Vogels has considerable influence on product and engineering innovation that directly impacts hundreds of millions of users and developers. Here are three takeaways from Dr. Vogels’ keynote this year.
Dec 17, 2020   |  By Unravel Data
Apache Spark is a fast and general-purpose engine for large-scale data processing. It’s most widely used to replace MapReduce for fast processing of data stored in Hadoop. Designed specifically for data science, Spark has evolved to support more use cases, including real-time stream event processing. Spark is also widely used in AI and machine learning applications.
Dec 11, 2020   |  By Sandeep Uttamchandani
Managing online teams has become the new normal! In an online world, how do you give effective feedback, have a difficult conversation, increase team accountability, communicate to stakeholders effectively, and so on? At Unravel, we are a fast-growing AI startup with a globally distributed engineering team across the US, EMEA, and India. Even before the pandemic this year, the global nature of our team has prepared us for effectively leading outcomes across online engineering teams.
Nov 25, 2020   |  By Swati Sawant
Unravel provides full-stack coverage and a unified, end-to-end view of everything going on in your environment, plus recommendations from our rules-based model and our AI engine. Unravel works on-premises, in the cloud, and for cloud migration.
Nov 3, 2020   |  By Floyd Smith
Cloud migration, also called “move to cloud,” is the process of moving existing data processing tasks to a cloud platform, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. Private clouds and hybrid cloud solutions can also serve as destinations.
Nov 3, 2020   |  By Floyd Smith
In cloud migration, also known as “move to cloud,” you move existing data processing tasks to a cloud platform, such as Amazon Webservices (AWS), Microsoft Azure, or Google Cloud Platform, to private clouds, and-or to hybrid cloud solutions. See our blog post, What is Cloud Migration, for an introduction. Figure 1: Steps in cloud migration.
Oct 22, 2020   |  By Floyd Smith
Unravel Data helps a lot of customers move big data operations to the cloud. Chris Santiago is Global Director of Solution Engineering here at Unravel. So Unravel, and Chris, know a lot about what can make these migrations fail. Chris and intrepid Unravel Data marketer Quoc Dang recently delivered a webinar, Reasons why your Big Data Cloud Migration Fails and Ways to Overcome. You can view the webinar now, or read on to learn more about how to overcome these failures.
Sep 30, 2020   |  By Floyd Smith
The Unravel release, now generally available, builds on our previous 4.6 release with a new UI/UX, multi-cluster support, monitoring for ELK (Elasticsearch, Logstash, and Kibana), and a new installer that makes Unravel available in minutes.
Aug 13, 2020   |  By Kunal Agarwal
We’ve been busy speaking to our customers and thought leaders in the industry and have rounded up the key takeaways from our latest CDO sessions. Here are some of the top takeaways and advice gained from these sessions with big data leaders, Kumar Menon from Equifax, Anheuser-Busch’s Harinder Singh, Sandeep Uttamchandani from Unravel, and DBS Bank’s Matteo Pelati.
Dec 16, 2020   |  By Unravel
DataOps is the hot new trend in IT, following on from the rapid rise of DevOps over the last decade. The growth of AI, machine learning, and move to cloud all contribute to the growing importance of DataOps. Kunal Agarwal, Unravel Data CEO will take you through the rise of DataOps and show you how to implement a data culture in your organization.
Dec 3, 2020   |  By Unravel
Cloud migration may be the biggest challenge, and the biggest opportunity, facing IT departments today - especially if you use big data and streaming data technologies, such as Cloudera, Hadoop, Spark, and Kafka. In this 55-minute webinar, Unravel Data product marketer Floyd Smith and Solutions Engineering Director Chris Santiago describe how to move workloads to AWS EMR, Databricks, and other destinations on AWS, fast and at the lowest possible cost.
Nov 18, 2020   |  By Unravel
Do you use big data and streaming services - such as Azure HDInsight, Databricks, and Kafka/EventHubs? Do you have on-premises big data that you want to move to Azure? Keeping costs down in Microsoft Azure is difficult, but vital. Join Chris Santiago of Unravel Data and explore how to to reduce, manage, and allocate streaming data and big data costs in Azure.
Nov 18, 2020   |  By Unravel
The move to cloud may be the biggest challenge, and opportunity, facing IT departments today. In this 45-minute webinar, Unravel Data product marketer Floyd Smith and Solutions Engineering Director Chris Santiago describe how to move workloads to the cloud quickly, cost-effectively, and with high performance for the newly cloud-based workloads. Tune in to find out the best way to de-risk your cloud migration projects with data driven insights.
Oct 22, 2020   |  By Unravel
Databricks has become a popular computing framework for big data as organizations increase their investments of moving data applications to the cloud. With that journey comes the promise of better collaboration, processing, and scaling of applications to the Cloud. However, customers are finding unexpected costs eating into their cloud budget as monitoring/observability tools like Ganglia, Grafana, the Databricks console only telling part of the story for charge/showback reports.
Oct 21, 2020   |  By Unravel
The Cloud brings many opportunities to help implement big data across your enterprise and organizations are taking advantage of migrating big data workloads to the cloud by utilizing best of breed technologies like Databricks, Cloudera, Amazon EMR and Azure HDI to name a few. However, as powerful as these technologies are, most organizations that attempt to use them fail. Join Chris Santiago, Director of Solution Engineering as he shares the top reasons why your big data cloud migration fails and ways to overcome it.
Oct 6, 2020   |  By Unravel
Make your data platform faster, better & cheaper with Unravel by joining Chris Santiago, Director of Solution Engineering to learn how to reduce the time troubleshooting and the costs involved in operating your data platform. Instantly understand why technologies such as Spark applications, Kafka jobs, and Impala underperform or even fail! Define and meet enterprise service levels through proactive reporting and alerting.
Oct 6, 2020   |  By Unravel
The movement to utilize data to drive more effective business outcomes continues to accelerate. But with this acceleration comes an explosion of complex platforms to collect, process, store, and analyze this data. Ensuring these platforms are utilized optimally is a tremendous challenge for businesses. Join Mick Nolen at Senior Solutions Engineer at Unravel Data, as he takes you through Unravel’s approach to migrating big data workloads to the Cloud. Whether you’re migrating from
Jul 28, 2020   |  By Unravel
Big data leaders are no doubt being challenged with market uncertainty. Data-driven insights can help organizations assess, and uncover market risk and opportunities that may arise during uncertain times. As businesses around the world adapt to digitization initiatives, modern data systems have become more mission critical toward continuity and competitive differentiation.
Jul 25, 2020   |  By Unravel
Data is a core part of every business. As data volumes increase so do costs of processing it. Whether you are running your Apache Spark, Hive, or Presto workloads on-premise or on AWS, Amazon EMR is a sure way to save you money. In this session, we’ll discuss several best practices and new features that enable you to cut your operating costs and save money when processing vast amounts of data using Amazon EMR.
Jan 13, 2020   |  By Unravel
Learn more about AI-powered data operations for modern data applications.
Jan 13, 2020   |  By Unravel
Learn how to simplify Big Data Operations with Application Performance Management.
Jan 1, 2020   |  By Unravel
Learn how Unravel complements Cloudera Manager.
Jan 1, 2020   |  By Unravel
Learn a best practice approach to managing performance and utilization.
Dec 1, 2019   |  By Unravel
Get the visibility you need at each stage of your machine learning application development lifecyle.
Dec 1, 2019   |  By Unravel
Learn how to ensure that streaming data analytics perform reliably.
Dec 1, 2019   |  By Unravel
Application Performance Management isn't a new discipline, but it is a new best practice for Big Data. APM for big data has become a must-have for running big data in production in order to manage performance and utilization of big data applications and platforms.

Unravel helps you monitor, manage, and improve your data pipelines in the cloud and on-premises – to drive more reliable performance in the applications that power your business.

The Unravel Data Operations Platform helps ops engineers, app developers, and enterprise architects reduce the complexity of delivering reliable application performance – providing unified visibility and operational intelligence to optimize your entire ecosystem.

Deliver on the promise of data:

  • Uncover: Get a unified view of your entire data stack. Unravel collects performance data from every platform, system, and application on any cloud then uses agentless technologies and machine learning to model your data pipelines from end to end.
  • Understand: Explore, correlate, and analyze everything in your modern data and cloud environment. Unravel’s data model reveals dependencies, issues, and opportunities, how apps and resources are being used, what’s working and what’s not.
  • Unravel: Don’t just monitor performance – quickly troubleshoot and rapidly remediate issues. Leverage AI-powered recommendations to automate performance improvements, lower costs, and prepare for what’s next – wherever it’s deployed.

Simplify Data Operations for Modern Data Clouds.