Open – For Business – At the ASF

The Apache Software Foundation is about to celebrate an anniversary, and its extraordinary contribution to the economic refactoring of software stacks seems to be gaining more momentum with every passing year. After three Gartner Data and Analytics events on 3 continents with thousands of attendees in the past 4 weeks, I find myself more impressed than ever by the pervasive interest in and influence of open source software. I had several dozen one-on-one meetings with attendees (many, but not all, Gartner clients), and its appeal and impact on data management was reinforced again and again. Donald Feinberg and I noted in  State of the Open-Source DBMS Market, 2018 that

7.6% of DBMS revenue was attributable to OSDBMS-based offerings; a growth rate of 50% over the previous year in a broad market that grew 7.7%. This growth followed on the heels of a doubling in its size during the previous year.

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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.

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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 and scale Apache Hadoop, Spark, HBase, Presto, Hive, and other Big Data Frameworks” while on Google’s Cloud Platform page the word Hadoop appears once inside the description of Cloud Dataproc.

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Google Cloud Spanner Enters With a Splash

This post was authored by Rick Greenwald, Merv Adrian and Donald Feinberg

Last week, Google launched its internal Cloud Spanner DBMS into a public beta. Claiming to be both strongly consistent (like a relational DBMSs) and horizontally scalable (like NoSQL DBMSs), Cloud Spanner’s internal use has given Google time to exploit unique physical characteristics of its cloud.

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