Discussion of DataStax — formerly known as Riptano — a company founded to commercialize Cassandra.

January 5, 2013

NewSQL thoughts

I plan to write about several NewSQL vendors soon, but first here’s an overview post. Like “NoSQL”, the term “NewSQL” has an identifiable, recent coiner — Matt Aslett in 2011 — yet a somewhat fluid meaning. Wikipedia suggests that NewSQL comprises three things:

I think that’s a pretty good working definition, and will likely remain one unless or until:

To date, NewSQL adoption has been limited.

That said, the problem may lie more on the supply side than in demand. Developing a competitive SQL DBMS turns out to be harder than developing something in the NoSQL state of the art.

Read more

March 31, 2012

Our clients, and where they are located

From time to time, I disclose our vendor client lists. Another iteration is below, the first since a little over a year ago. To be clear:

For reasons explained below, I’ll group the clients geographically. Obviously, companies often have multiple locations, but this is approximately how it works from the standpoint of their interactions with me. Read more

March 27, 2012

DataStax Enterprise and Cassandra revisited

My last post about DataStax Enterprise and Cassandra didn’t go so well. As follow-up, I chatted for two hours with Rick Branson and Billy Bosworth of DataStax. Hopefully I can do better this time around.

For starters, let me say there are three kinds of data management nodes in DataStax Enterprise:

Cassandra, Solr, Lucene, and Hadoop are all Apache projects.

If we look at this from the standpoint of DML (Data Manipulation Language) and data access APIs:

In addition, it is sometimes recommended that you use “in-entity caching”, where an entire data structure (e.g. in JSON) winds up in a single Cassandra column.

The two main ways to get direct SQL* access to data in DataStax Enterprise are:

*or very SQL-like, depending on how you view things

Before going further, let’s recall some Cassandra basics: Read more

March 21, 2012

DataStax Enterprise 2.0

Edit: Multiple errors in the post below have been corrected in a follow-on post about DataStax Enterprise and Cassandra.

My client DataStax is announcing DataStax Enterprise 2.0. The big point of the release is that there’s a bunch of stuff integrated together, including at least:

DataStax stresses that all this runs on the same cluster, with the same administrative tools and so on. For example, on a single cluster:

Read more

February 1, 2012

Couchbase update

I checked in with James Phillips for a Couchbase update, and I understand better what’s going on. In particular:

Read more

September 26, 2011

Highlights of a busy news week

I put up 14 posts over the past week, so perhaps you haven’t had a chance yet to read them all. :) Highlights included:

Most of the posts, however, were reactions to news events. In particular:

September 22, 2011

DataStax pivots back to its original strategy

The DataStax and Cassandra stories are somewhat confusing. Unfortunately, DataStax chose to clarify them in what has turned out to be a crazy news week. I’m going to use this post just to report on the status of the DataStax product line, without going into any analysis beyond that.

Read more

September 8, 2011

Aster Data business trends

Last month, I reviewed with the Aster Data folks which markets they were targeting and selling into, subsequent to acquisition by their new orange overlords. The answers aren’t what they used to be. Aster no longer focuses much on what it used to call frontline (i.e., low-latency, operational) applications; those are of course a key strength for Teradata. Rather, Aster focuses on investigative analytics — they’ve long endorsed my use of the term — and on the batch run/scoring kinds of applications that inform operational systems.

Read more

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

DataStax introduces a Cassandra-based Hadoop distribution called Brisk

Cassandra company DataStax is introducing a Hadoop distribution called Brisk, for use cases that combine short-request and analytic processing. Brisk in essence replaces HDFS (Hadoop Distributed File System) with a Cassandra-based file system called CassandraFS. The whole thing is due to be released (Apache open source) within the next 45 days.

The core claims for Cassandra/Brisk/CassandraFS are:

There’s a pretty good white paper around all this, which also recites general Cassandra claims – [edit] and here at last is the link.

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