SAN JOSE, CA (Nov. 1, 2016) – Sparkflows announces that its Fire platform, a comprehensive enterprise analytics offering for building and deploying analytics applications, is now certified to run on Cloudera Enterprise 5. Fire is being used as the foundation on which to build and deploy analytics application and execute them on Apache Spark clusters.
“I am excited to bring Sparkflows Fire’s unique machine learning, application and data pipeline building capabilities to Cloudera Enterprise creating a win-win situation and delivering higher business value for customers at a much lower TCO. By taking advantage of Cloudera’s investments in Apache Spark, our joint customers can leverage Fire’s world class analytics application development platform to get higher value out of their investments in Cloudera clusters,” said Sunil Sharma, Co-founder and CPO of Sparkflows.
Sparkflows is a self-service big data analytics and application development tool pre-packaged with a comprehensive set of Machine Learning, Data Analytics and ETL nodes. These nodes, relevant for most big data use cases, significantly improve the time to market and total cost of ownership. Sparkflows application workflows execute on an underlying Apache Spark batch and streaming execution engines.