Gunning for Your Business: NoSQL, Big Data Companies Targeting Enterprises

Loraine Lawson
Slide Show

Why the Hoopla over Hadoop?

Hadoop in nine easy to understand facts.

Cloudera.

10gen.

Basho Technologies.

Ripatano.

Cloudant.

Datameer.


 

These names might not be familiar to you know, but they hope to be.

 

They're among the NoSQL and "big data" companies targeting enterprises and other large organizations.

 

A recent GigaOM article summed it up best:

While it was absolutely necessary for a number of high-profile web companies to spearhead the adoption of big data and NoSQL-think Google and Yahoo with Big Table and MapReduce, or Facebook with Cassandra-it is time to explore larger and more repeatable markets with mainstream businesses in the U.S. and around the world.

And that's exactly what these companies plan to do.

 

Of course, that's not a full list. GigaOM covered more in a summer round-up focused on big data solutions. Big data, if you haven't heard, is the name given for processing mega amounts-think terabytes and petabytes - of data, usually machine-generated. It's as much an untapped opportunity as a problem, and it took the likes of Google, Facebook, Twitter and Apache Open Source community to tackle it. As I've shared before, Hadoop is one of the primary ways to store and process big data.

 

But now Hadoop and other NoSQL are being used to address real business problems beyond the confines of the Internet. For examples of how Hadoop is being used, check out our recent slideshow, "Why the Hoopla over Hadoop?"

 

It's a bit unfair to lump NoSQL in with big data solutions, as Todd Hoff of High Scalability recently pointed out after attending a NoSQL panel discussion. NoSQL can also be "about problems that require high concurrency and support for large numbers of interactive users at the data layer," Hoff shared.

 

Nonetheless, many of the same big data companies made his list of NoSQL players, so if you're curious about the players targeting the enterprise, it's another good resource.

 

His post is a collection of notes from the panel discussion. In part, it's the NoSQL community talking to itself, but there are a few highlights of interest to the business-minded IT leader, including a long list of use cases, a discussion of the business models NoSQL companies are using and warnings about what is and isn't NoSQL. Here are two that caught my eye as particularly relevant:

 

  • "NoSQL typically doesn't support range queries, secondary indexes, and other programmer friendly features."
  • "Is BigData a myth? If you have any two of Velocity, Volume, or Variety, then you have a BigData problem, it's not just about volume. It depends on what you are doing with the data."

 

When there's stored data, you're eventually going to need a way to integrate it. There are a few companies marketing integration solutions designed specifically for use with Hadoop. For instance, Pentaho recently released the beta of its Pentaho Data Integration Solution, which gives developers a graphical interface for designing ETL jobs for moving data in and out of Hadoop.


The company also released a beta of Pentaho BI Suite for Hadoop, which-in addition to the data integration platform-allows you to run "production, operational and batch reporting against the full set of data in Hadoop, as well as create data marts," according to Information Management.

 

Talend, an open source integration company, also supports Hadoop.

 

Outside Hadoop, the 42-year-old mainframe company Syncsort is also marketing its solution for big data.



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