September 25, 2011

Ingres deemphasized, company now named Actian

Ingres, the company, is:

It turns out that Actian was the name of an ancient athletic competition commemorating Augustus’ defeat of Anthony at Actium, a battle that was more recently memorialized in the movie Cleopatra. Frankly, I think Cleopatra Software might have been a more interesting company name, although that could mean execs would have to arrive at sales calls rolled up in a carpet.

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July 10, 2011

Hadoop futures and enhancements

Hadoop is immature technology. As such, it naturally offers much room for improvement in both industrial-strengthness and performance. And since Hadoop is booming, multiple efforts are underway to fill those gaps. For example:

(Zettaset belongs in the discussion too, but made an unfortunate choice of embargo date.)

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July 6, 2011

Hadapt update

I met with the Hadapt guys today.  I think I can be a bit crisper than before in positioning Hadapt and its use cases, namely:

Other evolution from what I wrote about Hadapt a few months ago includes:

In other news, Hadapt is our newest client.

May 14, 2011

Alternatives for Hadoop/MapReduce data storage and management

There’s been a flurry of announcements recently in the Hadoop world. Much of it has been concentrated on Hadoop data storage and management. This is understandable, since HDFS (Hadoop Distributed File System) is quite a young (i.e. immature) system, with much strengthening and Bottleneck Whack-A-Mole remaining in its future.

Known HDFS and Hadoop data storage and management issues include but are not limited to:

Different entities have different ideas about how such deficiencies should be addressed.  Read more

March 23, 2011

Hadapt (commercialized HadoopDB)

The HadoopDB company Hadapt is finally launching, based on the HadoopDB project, albeit with code rewritten from scratch. As you may recall, the core idea of HadoopDB is to put a DBMS on every node, and use MapReduce to talk to the whole database. The idea is to get the same SQL/MapReduce integration as you get if you use Hive, but with much better performance* and perhaps somewhat better SQL functionality.** Advantages vs. a DBMS-based analytic platform that includes MapReduce — e.g. Aster Data — are less clear.  Read more

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