More than Two-Thirds of Data Analytics Now Run on Modern Non-Relational Data Sources Like Hadoop, NoSQL, Cloud and Search Databases, According to Zoomdata/O’Reilly Study

SAN MATEO, CA, October 11, 2017 (GLOBE NEWSWIRE) -- Zoomdata, developers of the world's fastest visual analytics platform for big and streaming data, and O’Reilly Media, an internationally recognized, multi-faceted company that has played a seminal role in the evolution and adoption of the Internet revolution, today released the results of a comprehensive survey run by O’Reilly that asked 875 respondents to identify their industry, job role, company size, reasons for using analytics, technologies used in analytics programs, the perceived value of analytics programs, and more.

According to the survey, data analytics has crossed the chasm as non-relational database management systems now make up just more than 70% of data sources for doing analytics.  Around 40% of data sources are composed of modern non-RDBMS sources such as Hadoop, NoSQL, in-memory and search databases, 20% are columnar/MPP analytic databases, and 10% are cloud native data stores such as Amazon Redshift and Google BigQuery. Only 30% of data analytics is still performed against traditional relational database management systems.

“This wholesale move to more modern data platforms has been driven by a combination of economics and the high data scale, data variety and streaming data needs of today’s organizations,” said Nick Halsey, CEO, Zoomdata. “Traditional BI tools are not able to take advantage of the unique capabilities of these modern data platforms, resulting in the rise of next generation business intelligence and analytics platforms such as Zoomdata, which are optimized to leverage the full analytic capabilities of these modern data sources, all at the speed-of-thought.”

Additional survey findings include:

• Analytic databases and Hadoop are the most common storage formats for big data;
• Kafka and Spark are emerging as the streaming data technologies of choice;
• Overall the skills in the most demand are Python, SQL, and relational databases, followed by Hadoop and Java

The full report is available to read here.

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