Cloudera prepares to make Hadoop a central hub and first destination for companies' data. SAS and Apache Spark add data-analysis options.
Extending The Hub
The Enterprise Data Hub vision also encompasses data-processing and data-analysis options from third-party vendors. On this front the company highlighted Cloudera Enterprise 5 support for deploying, managing and monitoring Hadoop-compatible products from partners including SAS, Revolution Analytics, Informatica, Syncsort and others. Support for SAS Scoring and SAS Visual Analytics on Cloudera's Hadoop platform is particularly significant given the vast pool of SAS-savvy data analytics professionals.
Reaching out to startups, Cloudera announced an Innovators program that will see DataBricks, the company behind Apache Spark, as an inaugural member. Spark is an in-memory analytics framework that runs on Hadoop. Now in open source, the technology is being developed and commercially supported by DataBricks, which was spun out of AMPLab at the University of California, Berkeley.
As part of the Innovators program, Cloudera announced direct support for Apache Spark within CDH, and Olson said the company will also provide technical resources and front-line support.
In other announcements tied to the Enterprise 5 beta release, Cloudera announced new capabilities including:
-- In-memory HDFS caching designed to boost Map/Reduce processing performance and Cloudera Impala query response times,
-- User-defined functions (UDFs) that let users store custom functions for use with Cloudera Impala and the open source MADlib statistical and analytic library for in-database analytics,
-- YARN and Cloudera Manager resource management tools designed to enable administrators to allocate resources by workload and workgroup,
-- Centralized data-auditing and data-lineage features to satisfy governance and compliance requirements,
-- New cloud-based Cloudera services from Savvis (a CenturyLink company), SoftLayer (an IBM company), T-Systems and Verizon Cloud. Cloudera services were already available through Amazon Web Services.
Commercial Vs. Open Source
Cloudera's biggest competitor, Hortonworks, will likely point to the many spots where Cloudera's Enterprise Data Hub vision leads to commercial software. Olson insisted that "everything at the core and at the platform level is open source." Where the company has proprietary software -- Cloudera Manager, Cloudera Navigator and some aspects of backup and disaster recovery -- Olson said the company is delivering unique value.
"If it's about manageability, deploying and operating the software at scale, or about getting added value from the data, we reserve the right to make that proprietary," he said.
In some cases, "core" options that are open source, like Cloudera Impala and Cloudera Search, would be almost impossible to run at scale without Cloudera Manager to provision, manage and monitor the workloads and Cloudera Navigator to provide access control and auditing.
Will these differences even matter to the many Hadoop users who are still tinkering with clusters and experimenting with Map/Reduce? Or has the platform really matured to the point where many companies are ready for the Enterprise Data Hub vision?
"We don't see [Enterprise Data Hub-style deployments] ubiquitously, but in most of our longstanding accounts and among all of our very largest customers, we absolutely see this happening," Olson said. "I expect most of our installed base to be deployed in this way within the next couple of years."
That's optimistic. As for the licensing, packaging and pricing differences, we have yet to hear the details. But it sounds like we can expect an all-you-can-eat Enterprise Data Hub licensing and support approach. That, plus a harder push to extend the community and tightly integrate Cloudera's flavor of Hadoop with third-party data-management and analytics offerings from SAS and similar companies.
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