Pivotal and Hortonworks collaborate on Ambari for enterprise Hadoop

Pivotal said it will dedicate engineers to contribute installation, configuration and management capabilities to Ambari.
Written by Natalie Gagliordi, Contributor

Pivotal and Hortonworks announced plans to work together to boost enterprise-grade offerings on Apache Ambari, Hortonworks' framework for provisioning, managing and monitoring Apache Hadoop clusters. Pivotal said it will dedicate engineers to contribute installation, configuration and management capabilities to Ambari. 

Although the two big data players have existed largely on opposite ends of the spectrum, especially in how they approach open source vs. proprietary technology, it's likely that Pivotal could no longer ignore the momentum building up behind the Ambari project. The platform is less hyped than other Hadoop components, but its focus on orchestration and management has slowly caught the attention of those in the enterprise IT community.

Pivotal said its Pivotal HD and Big Data Suite customers who favor Ambari — and the broader Apache Hadoop community — will benefit from the additional development resources and functionality contributions Pivotal will make to the Ambari project. 

But it's not totally abandoning its own, in-house ops platform, as Pivotal said it will make sure its existing, paying customers also will benefit from the collaboration. 

Pivotal noted on its blog:

Apache Hadoop projects are central to our efforts to drive the most value for the enterprise. An open source, extensible and vendor-neutral application to manage services in a standardized way benefits the entire ecosystem. It increases customer agility and reduces operational costs and can ultimately help drive Hadoop adoption.

As for Hortonworks, Shaun Connolly, the company's VP of strategy said in a statement:

"Collaborating with Hortonworks and others in the Apache Hadoop ecosystem to further invest in Apache Ambari as the standard management tool for Hadoop will be quite powerful. Pivotal’s track record in open source overall and the breadth of skills they bring will go a long way towards helping enterprises be successful, faster, with Hadoop."


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