Another big difference is how the companies are adding features for processing different types of data. IBM includes Lucene, a text search engine for building indices. Cloudera offers intelligent ...

Hadoop: How it became big data's lynchpin, ... "I was coming at it from a web search context, I saw it was useful in processing the sort of datasets we were getting crawling the web.

Hadoop, an open source software framework, was built for the distributed storage and processing of massive data sets on normal computer clusters. In essence, Hadoop is a really big file system ...

Microsoft (NASDAQ:MSFT) is bringing Hadoop to the Windows Azure cloud. The popular big-data analytics framework is now available on Microsoft's cloud infrastructure. On the one hand, it's great to ...

Increasingly suppliers of processing virtualization and storage virtualization software have begun to flog “Big Data” in their presentations. What, exactly, does this phrase mean?

DataTorrent made its primary product, DataTorrent RTS, generally available today. The product is built on top of Hadoop 2.0 and allows companies to process massive amounts of big data in real time ...

In reality, the number of Big Data stalwarts is not that large and a majority of companies that are adopting Hadoop/Spark are doing so for reasons in addition to the volume of data. If one looks ...

Hadoop is an open source-based software framework that enables high throughput processing of big data quantities across distributed clusters. What started as niche market several years ago is now ...

In the big data battle for architectural supremacy, the cloud is clearly winning and Hadoop is clearly losing. Customers are shying away from investing in monolithic Hadoop clusters in favor of more ...

For some time Microsoft didn't offer a solution for processing big data in cloud environments. SQL Server is good for storage, but its ability to analyze terabytes of data is limited. Hadoop ...