[{"innerBlocks":[],"name":"core\/freeform","postId":1899,"blockType":{"name":"core\/freeform","keywords":[],"attributes":{"content":{"type":"string","source":"raw"},"lock":{"type":"object"}},"providesContext":[],"usesContext":[],"selectors":[],"supports":{"className":false,"customClassName":false,"reusable":false},"styles":[],"variations":[],"apiVersion":3,"title":"Classic","description":"Use the classic WordPress editor.","category":"text"},"originalContent":"Open source products are becoming an increasingly important part of data management, although not all categories of offerings are growing as quickly as others.

\u201cOpen source business analytics has been relatively slow to grow, compared to other open source data management capabilities,\u201d said Donald Farmer, principal at consulting firm TreeHive Strategy.

\u201cWe have seen real traction for stream processing, data movement and of course data management in open source,\u201d Farmer said. \u201cOne important exception has been open source data visualization, a critical component of analytics.\u201d

For example, d3 \u201chas been an outstanding success and as a result is supported even by analytics tools which have their own highly-developed visualization capabilities,\u201d Farmer said.

In the area of data science, open source platforms and languages such as R, Julia, and Scala are growing rapidly as fundamental tools.

\u201cThe business analytics market has changed dramatically over the last 10 years, with self-service technologies for business users dominating over traditional IT-centered deployments,\u201d Farmer said. \u201cAs a result, analytics tools are notably low cost\u2014often with a freemium model\u2014easy to deploy and supported both by vendors and very active communities.\u201d

With Jaspersoft acquired by Tibco, Pentaho by Hitachi (now Vantara), and Revolution acquired by Microsoft, there is an interesting shift in the market, Farmer said. \u201cThe major vendors have all been acquired, and who is to replace them\u2014if that is needed\u2014in the truly \u2018open\u2019 open-source market?\u201d

In the data science space, vendors have often been bypassed in favor of community projects, especially on Apache, Farmer said. \u201cBut RapidMiner, Dataiku, and Knime are still doing well.\u201d","saveContent":"Open source products are becoming an increasingly important part of data management, although not all categories of offerings are growing as quickly as others.

\u201cOpen source business analytics has been relatively slow to grow, compared to other open source data management capabilities,\u201d said Donald Farmer, principal at consulting firm TreeHive Strategy.

\u201cWe have seen real traction for stream processing, data movement and of course data management in open source,\u201d Farmer said. \u201cOne important exception has been open source data visualization, a critical component of analytics.\u201d

For example, d3 \u201chas been an outstanding success and as a result is supported even by analytics tools which have their own highly-developed visualization capabilities,\u201d Farmer said.

In the area of data science, open source platforms and languages such as R, Julia, and Scala are growing rapidly as fundamental tools.

\u201cThe business analytics market has changed dramatically over the last 10 years, with self-service technologies for business users dominating over traditional IT-centered deployments,\u201d Farmer said. \u201cAs a result, analytics tools are notably low cost\u2014often with a freemium model\u2014easy to deploy and supported both by vendors and very active communities.\u201d

With Jaspersoft acquired by Tibco, Pentaho by Hitachi (now Vantara), and Revolution acquired by Microsoft, there is an interesting shift in the market, Farmer said. \u201cThe major vendors have all been acquired, and who is to replace them\u2014if that is needed\u2014in the truly \u2018open\u2019 open-source market?\u201d

In the data science space, vendors have often been bypassed in favor of community projects, especially on Apache, Farmer said. \u201cBut RapidMiner, Dataiku, and Knime are still doing well.\u201d","order":0,"get_parent":{},"attributes":[],"attributesType":{"content":{"type":"string","source":"raw"},"lock":{"type":"object"}},"dynamicContent":""}]

More organizations embrace open source for analytics

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