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By James Kobielus, Information Management Blogs, MAR 22, 2012
As the enterprise Hadoop market continues to mature and many companies deploy their clusters for the most demanding analytical challenges, data scientists will begin to migrate toward this new, open source-centric platform. At the same time, enterprise adoption of the open-source R language will grow in 2012 and beyond, and we'll see greater industry convergence between Hadoop and R, especially as analytics tool vendors integrate both technologies tightly into their offerings. We will also see increasing adoption of open-source data integration tools, such as those commercialized by Talend and others, and of open-source BI tools, from Pentaho, Jaspersoft, and others.
This is happening for the following reasons:
- Open-source initiatives are transforming all platforms and tools. It's happening because open-source infrastructure, platforms, tools, and applications-such as Linux, Apache, Eclipse, Python, Mozilla, and Android-have gained widespread adoption in many sectors of the IT world, due to advantages such as no-cost licensing, extensibility, and vibrant communities.
- Open-source communities are where the fresh action is. It's happening because open-source communities have fostered innovative new approaches and ecosystems, increasingly gaining a jump on the incumbent providers of proprietary, closed-source-albeit feature-rich and robust-offerings in advanced analytics, data warehousing, and integration tools.
- Open-source solutions and providers are maturing rapidly. And it's happening because a new generation of IT professionals realizes they can now obtain open-source data/analytics products from a growing range of vendors, both startups and incumbents, who offer out-of-the-box integration with customers' legacy IT and also provide strong service, support, and consulting services. Open-source data/analytics products are no longer the risky bet they were just a year or two ago.