by Angela Guess

According to a new press release, “In order to better understand Apache Spark’s growing role in big data, Taneja Group conducted a major market research project, surveying approximately 7,000 people. The sample was made up of technical and managerial job roles from around the world directly involved in big data. The survey, which received an overwhelming response, explored experiences with and intentions for Spark adoption and deployment, current perceptions, favored vendors, and the future of Spark itself. Cloudera, the global provider of the fastest, easiest, and most secure data management and analytics platform built on Apache Hadoop and the latest open source technologies, which sponsored the market research project, today announced the findings of the study. An integrated part of CDH and supported with Cloudera Enterprise, Spark is the open standard for flexible in-memory data processing that enables batch, real-time, and advanced analytics on the Apache Hadoop platform.”

The release goes on, “Cloudera became the first Hadoop vendor to ship and support Spark in early 2014 when it was quickly becoming the framework of choice for faster batch processing. Cloudera invested in its development early. Today many Cloudera users have transitioned data processing workloads from MapReduce to Spark in their production systems, drastically reducing their data processing windows. According to the survey this trend is accelerating. Cloudera’s customers require Spark to be delivered at enterprise scale, backed by experts that have been involved in the genesis of making it the de-facto data processing engine for Hadoop. Cloudera continues to innovate via the One Platform Initiative aimed at enhancing Spark’s capabilities around management, security, scale, streaming, and cloud. Through the initiative, Cloudera is committed to helping the ecosystem adopt Spark as the default data execution engine for analytic workloads.”

Read more at Globe Newswire.

Photo credit: Apache Spark