Oh my. This is just immensely funny & sad at the same time - Amusing Database Videos http://www.bigdatabaselist.com/wiki/Amusing_Database_Videos

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The NoSQL event has triggered a bit of a hard time for the RDBMS the last week.  I won’t add any commentary as this follows what I have been talking about for a while, but here are some of the links.  Most notable is Michael Stonebraker’s post on the ACM site.

• The End of a DBMS Era (Might be Upon Us)
• Relational databases are dead -- who knew?
• …

Image by ToniVC via Flickr

Image via Wikipedia

Todd Hoff has posted a link to a Los Alamos National Lab presentation on Graph Databases.  In this paper they provide a revisit on the classic RDBMS vs Graph database debate.

The Relational Database hasn’t maintained its dominance out of dumb luck.  Instead the RDBMS has consistently outperformed while providing the most general use capability of all the variety of platforms that have been available.  Many other approaches have been tried, often these have provided better object model integration (OODBMS) or better data model representation.  But when the …

The last 24 months has seen the introduction of Map/Reduce functionality into the data processing arena in various forms.  Map/Reduce is a framework for developing scalable data processing functionality, and was popularized by Google (see this earlier post).

Pure players like Hadoop are starting to find their own niche, helped by organizations such as Cloudera.  However there has been a number of for & against arguments relating to Map/Reduce functionality inside the database.

These arguments are now really serving a moot point.  Customers have recognized value in Map/Reduce prompting some (b)leading edge database vendors to introduce such …

A bit of fun for a Sunday.  Below is the list of my top 10 interesting companies in Data Management right now.  Interesting to me means doing new stuff and being somewhat disruptive, or have a “watch and see” quality about them.  Note this is about companies not data management applications. 

While I find a bunch of other data management applications interesting (PNUTS, Cassandra, Redis etc) these aren’t really encapsulated in a company with a go to market strategy.

10gen - They are making interesting noises not sure about delivery yet
Amazon – SimpleDB is neat, but not a grown up data platform yet
Aster Data – Doing funky things with Map/Reduce
GroovyChannel – Are they nuts, they have to change …

A great post from Jonathan Ellis on "Why you won't be building your killer app on a distributed hash table"

Scroll down to see my comment.  I agree a simple DHT is not a suitable solution for mainstream data management issues, but also I think that there is a gap between RDBMS and DHT.

• Introduction
• The Problem with the Relational Database (Part 2) – Predictability

This is the first detail post in a series I am doing focusing on the issues that exist today with the Relational Database.  This first post is on the deployment model.  It could be argued that this isn’t directly related to the “relational database” but rather is an implementation model problem.  I disagree with this as many characteristics of the relational database lead to the deployment model …

• The Problem with the Relational Database (Part 1 ) –The Deployment Model
• The Problem with the Relational Database (Part 2) – Predictability

The relational database has been the core mechanism for structured data storage and retrieval for the past 30 years.  My career so far has focused around the relational database, whether it be from a development, administrator or investment perspective.  In all this time the RDB has been the best generic option available for developers …