IBM Big Data Improving but Not Perfect

April 9, 2013

IBM has been gaining good ground in the last few years regarding its integration with open source technology. One reason for the move is its foray into Big Data. What we know of Big Data is that open source is really helpful in solving the problem of all sorts of unstructured data. IBM deserves some credit for their work. Read details of their progress in the article, “IBM Big Data Announcements Move in Right Direction but More Must be Done.”

The story begins:

“IBM has a tremendous portfolio of Big Data products and services, including both acquisitions and technologies developed in house like Watson, writes Jeff Kelly in his Alert “IBM Accelerates Its Big Data Portfolio”. And it has embraced the Open Source Big Data community, at least at the foundational level, particularly with its BigInsights Hadoop platform. But IBM has problems as well. That huge portfolio is fragmented and sometimes confusing, and IBM’s approach, which is heavily dependent on its services arm, is expensive, geared to large enterprises, and too costly for most mid-sized companies.”

For those small to mid-sized companies, an open source based solution might be preferred. For instance, LucidWorks is built on open source Lucene/Solr. It is not just added in; the open source infrastructure is the foundation. This brings not only scalability and flexibility, but affordability, which is essential for a smaller business.

Emily Rae Aldridge, April 9, 2013

Sponsored by, developer of Beyond Search


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