Gartner’s ‘Market Guide for Hadoop Operations Providers’ Names Unravel as a Representative Vendor

Gartner's 'Market Guide for Hadoop Operations Providers' Names Unravel as a Representative Vendor UNRAVEL NAMED AS THE REPORT'S ONLYAPPLICATION PERFORMANCE MANAGEMENT (APM) PROVIDER MENLO PARK, CA – Unravel Data, the only application performance management (APM) platform for simplifying big data operations (DataOps), has announced that it has been included in Gartner's March [...]

By | April 19th, 2017|Blog|0 Comments

Unravel launches v4.0 – First Intelligent APM for Big Data

Unravel launches v4.0 - First Intelligent APM for Big Data MENLO PARK, CA--(Mar 8, 2017) - Unravel Data, the industry's only intelligent application performance management (APM) platform designed to simplify DataOps, today unveiled a new set of automated actions for improving Big Data operations and performance. Designed by Unravel after months [...]

By | March 8th, 2017|Blog|0 Comments

Unravel Data Partners with MapR and is now Certified on MapR Converged Data Platform!

Unravel Data Partners with MapR and is now Certified on MapR Converged Data Platform! BALA VENKATRAO, VP PRODUCTS We are pleased to announce that Unravel is now MapR certified. This marks an important milestone in our continued partnership with MapR, underpinned by a growing demand among MapR users for our [...]

By | February 28th, 2017|Blog|0 Comments

How to easily gain 5x speed up for hadoop and spark jobs

How to easily gain 5x speed up for hadoop and spark jobs TOO MANY TASKS, TOO MANY PROBLEMS Eric Chu One of our customers recently told me with much excitement that he was able to speed up his query from 41 minutes to about 8 minutes when he used [...]

By | February 21st, 2017|Blog|0 Comments

Common Big Data Application and Operation Challenges!

Common Big Data Application and Operation Challenges! BALA VENKATRAO, VP PRODUCTS Over the last one year, we at Unravel Data have spoken to several enterprise customers (with cluster sizes ranging from 10’s to 1000’s of nodes) about their Big Data Application challenges. Most of them leverage Hadoop in a typical [...]

By | February 1st, 2017|Blog|0 Comments

Unravel at Spark Summit Europe (October 2016)

Unravel at Spark Summit Europe (October 2016) UNRAVEL TEAM At its second edition in Europe and with a number of more than 1000 participants, Spark summit Europe took place in Brussels on October 25th-27th. With a total of 80 sessions, the summit covered a range of topics in six tracks: [...]

By | November 23rd, 2016|Blog|0 Comments

We are now Cloudera certified!

We are now Cloudera certified! BALA VENKATRAO, VP PRODUCTS We are pleased to announce that Unravel is now Cloudera certified. This marks an important milestone in our continued partnership with Cloudera, underpinned by a growing demand among Cloudera users for our full-stack Big Data performance intelligence platform. The certification ensures [...]

By | November 1st, 2016|Blog|0 Comments

To cache or not to cache, that’s the million dollar question

To cache or not to cache, that's the million dollar question ADRIAN POPESCU, PLATFORM ENGINEER This post is the first part of a series of posts on caching, and it covers basic concepts for caching data in Spark applications. The following posts will cover more how-to's for caching such as [...]

By | October 25th, 2016|Blog|1 Comment

Rethinking Big Data Application Management

Rethinking Big Data Application Management BALA VENKATRAO, VP PRODUCTS A recurring theme over the last few years has been that Big Data technologies are fading away. What is thriving are Big Data Applications, from ETL pipelines, Analytics to ML products, that leverage the Big Data Stack (Hadoop, Spark, Kafka, Cassandra, [...]

By | September 26th, 2016|Blog|0 Comments

Why we created Unravel

Why we created Unravel KUNAL AGARWAL, CEO Big Data is no longer a side project. Hadoop, Spark, Kafka and NoSQL systems are slowly becoming part of core IT fabric in most organizations. From product usage reports to recommendation engines, organizations are now running various types of Big Data applications in [...]

By | September 21st, 2016|Blog|0 Comments