Welcome to my co-author, Gartner analyst Sanjeev Mohan It’s been an eventful 6 months since Merv published the last of these trackers. The Hadoop ecosystem is far from dead, as many pundits predicted. Cloudera Data Platform (CDP) has begun to ship in bare metal, public cloud and private cloud versions. MapR is now HP EzmeralContinue reading “August 2020 Hadoop Apache Project Tracker”
Category Archives: Apache HBase
January 2018 Hadoop Tracker
Last month’s update was obsolete before it published. This often happens because of multiple moving parts and my extended gestation period. I needed to correct entries for both AWS and Hortonworks. The new Tracker is correct as far as I know as of January 2, 2018. Enjoy. –more–
December 2017 Tracker – Where’s Hadoop?
The leading 2017 story of Hadoop distributions is that nobody seems to want to be accused of being in the business of providing them. Some former champions are expanding their shiny new positioning: Cloudera is selling Enterprise Data Hubs and Analytic DBs; Hortonworks offers DataPlanes and Next-Gen Data Platforms; MapR touts the Converged Data Platform. In the cloud world, Amazon’s EMR is at least designed to “run andContinue reading “December 2017 Tracker – Where’s Hadoop?”
Hadoop Commercial Support Component Tracker – March 2017
Stack expansion has ground to a halt. The last time an Apache project was added to the list of those most supported by leading Hadoop distribution vendors was July 2016, when Kafka joined the other 14 then commonly included. Since then, no broad support for new projects has emerged. The only project that does seem successfulContinue reading “Hadoop Commercial Support Component Tracker – March 2017”
Symposium Notes – Day Four Returns to Data Security, and to Hadoop
Thursday, the final day, reinforced a theme for the week: data security is heating up, and organizations are not ready. It came up in half of today’s final 10 meetings. “Is my data more secure, or less, in the cloud?” “Does using open source software for data management compromise how well I can protect it?”Continue reading “Symposium Notes – Day Four Returns to Data Security, and to Hadoop”
Symposium Notes – Day Two Jumps in the (Data) Lake
My second day of Symposium 1:1 meetings continued the “security of big data” theme (4 of the day’s 15 conversations – usually, but not always, about HDFS-based data), with a data lake flavor. The concerns were retroactive – often driven by an internal audit. “We built it, now how do we secure it?” is aContinue reading “Symposium Notes – Day Two Jumps in the (Data) Lake”
Symposium Notes – Day One Features Hadoop
Gartner Symposium is always exciting, challenging and stimulating for analysts; we get to interact with many organizations in a brief time during 1on1 meetings scheduled based on our coverage. It offers an fascinating snapshot of what is on people’s minds – enough so that they have traveled to a conference in part to have that discussion.Continue reading “Symposium Notes – Day One Features Hadoop”