Big Data Analytics Adoption Soared In The Enterprise In 2018

Big data adoption in enterprises soared from 17% in 2015 to 59% in 2018, reaching a Compound Annual Growth Rate (CAGR) of 36%. Amazon Web Services (AWS) S3, Spark SQL, Hive, and HDFS are the most popular big data access methods with AWS S3 is growing most quickly in 2018. Apache Spark MLib and Tensorflow are the most-adopted big data analytics and machine learning technologies in enterprises today. Cloudera, Amazon EMR, Hortonworks, and MAP/R are the most popular big data distributions by enterprises in 2018. These and many other fascinating insights are from Dresner Advisory Services’  2018 Big Data Analytics Market Study part of their Wisdom of Crowds® series of research. This is the 4th annual Big Data Analytics report the firm has done, examining end-user trends and intentions surrounding big data analytics, defined as systems that enable end-user access to and analysis of data contained and managed within the Hadoop ecosystem. Please see pages 13 through 16 for additional details on the methodology.