MapR brings down data silos with converged data platform
On Tuesday, Hadoop distribution specialist MapR Technologies announced its intention to change all that with the MapR Converged Data Platform, which integrates file, database, stream processing and analytics. By natively integrating data-in-motion and data-at-rest in a converged platform, MapR says it will enable developers to create new, innovative applications that reduce data duplication and movement, lower the cost of integration and maintenance associated with multiple platforms and accelerate business results.
The Converged Data Platform brings together the MapR Distribution including Apache Hadoop, MapR-DB and MapR Streams. MapR Streams, also announced Tuesday, is a new global event stream system, natively integrated with MapR's Hadoop distribution, which allows organizations to continuously collect, analyze and act on streaming data.
"Bringing together world-class Apache Hadoop and Apache Spark with a top-ranked NoSQL database and now continuous reliable streaming with global scale is a huge step forward in enabling enterprise developers to create the next-gen apps using big data," Anil Gadre, senior vice president, product management, MapR Technologies, said in a statement Tuesday.
MapR Chief Marketing Officer Jack Norris notes that MapR Streams can easily scale to handle massive data flows and long-term persistence, while also providing enterprise features like high availability, disaster recovery, security and full data protection.
"This is moving from a batch environment to incorporating the analytics into the production data flow so you can impact business while it's happening," Norris says.
For instance, Norris says, the Converged Data Platform will help advertisers provide relevant real-time offers, healthcare providers improve personalized treatment, retailers optimize their inventory and telecom carriers dynamically adjust mobile service areas.
MapR Streams allows developers to:
Norris says MapR Streams will be generally available in early 2016.