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Zetaris Joins Forces with MapR to Focus on Redefining Digital Customer Experience

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mrby Angela Guess

A new press release reports, “MapR Technologies, Inc., provider of the industry’s only Converged Data Platform, today announced that big data and analytics business software company Zetaris has joined the MapR Converge Partners Program as software partners.  Driving innovation at the forefront of the analytics technology field, Zetaris offers business applications that provide deep analytical capabilities and rich customer experiences to a wide range of industries through its own pre-built application mesh and analytical data virtualisation platform.”

The release continues, “Zetaris will offer its Alchemist data analytics automation tool and Zetaris Lightning (for Analytical Data virtualisation) with the MapR Converged Data Platform. The Alchemist tool lets business users build analytical workflows that mix and match data operations, algorithms and data sets to produce a diverse range of analytical products.  Customers experience rapid development cycles through a set of business application templates (Zetaris BATs) that come pre-configured in the Zetaris Alchemist software. Zetaris Lightning provides a uniform view across different databases and enables SQL access to data regardless of location. Lightning chooses the fastest way to obtain data from each database and then joins data across them. The integration of these technologies with MapR takes rich analytics to the next level with an enhanced layer of security, additional enterprise features, real-time capabilities and reduced time-to-action.”

Vinay Samuel, founder and CEO of Zetaris, commented, “Combining MapR with our Alchemist and Lightning products fully addresses the complex security, structured, unstructured and latency requirements of enterprise customers. By enhancing our business apps through this unparalleled, enterprise-grade data layer from MapR, our customers can now deploy Zetaris solutions to a much wider set of real-time use cases without the latency and friction we see in Hadoop HDFS deployments.  It is a massive differentiator in the marketplace.”

Read more at PRwire.

Photo credit: MapR

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