Trifacta today announced that its Trifacta Data Transformation Platform has been certified for use with Hortonworks Data Platform 2.1 (HDP) by means of the Hortonworks Certified Technology Program. The certification ensures the compatibility of the Trifacta Data Transformation Platform with the latest Hortonworks Data Platform and thereby positions Trifacta’s technology to integrate with enterprise-grade deployments of the Hortonworks Hadoop distribution. Today’s announcement further validates the value of the Trifacta Data Transformation Platform as a technology platform that facilitates the derivation of actionable business intelligence from Hadoop by rendering it easier for analysts to visualize and engage with Hadoop-based data in conjunction with machine learning-based suggestions regarding data transformations and analytics. Trifacta’s partnership with Hortonworks builds upon recent news of its $25M Series C raise and the finalization of an analogous collaboration with Hadoop vendor Cloudera. In March, Trifacta announced a partnership with Cloudera that ensures the compatibility of Trifacta’s Data Transformation Platform with the Cloudera Hadoop ecosystem.
Now that Trifacta has inked deals to certify its Data Transformation Platform with the two Hadoop market share leaders, Cloudera and Hortonworks, the Big Data space should expect enterprise deployments of its platform to accelerate as Trifacta solidifies its branding as the de facto platform for the transformation, cleansing and guided exploration of Hadoop-based data. The platform’s value proposition consists in the reduction of time to insight with respect to actionable business intelligence derived from Hadoop-based data, its ability to enhance analyst productivity and to iteratively deliver more nuanced guidance regarding data transformations of interest by means of its machine learning-based technology. Expect Trifacta to continue expanding its range of strategic partnerships in the forthcoming months as it leverages its recent funding to position itself at the forefront of enterprise technologies regarding the effective operationalization of Big Data.
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