Cloud Databases

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Credit: Shutterstock by Kevin Jackson & Dez Blanchfield   IBM recently launched an exciting new project in the form of a podcast series produced and hosted Dez Blanchfield, appropriately titled the…

The Endpoint Imperative: A Form Factor Renaissance

By G C Network | December 22, 2017

Workplace expectations are changing, and along with them, the devices we use to do our jobs. In this episode of “The End Point Imperative”, Intel’s Sarah Wieskus tells us about…

Cloud Storage 2.0 Set To Dominate Market

By G C Network | December 19, 2017

The enterprise data storage marketplace is poised to become a battlefield. No longer the quiet backwater of cloud computing services, the focus of this global transition is now going from…

Top “Cloud Musings” Posts For 2017

By G C Network | December 17, 2017

    ( This content is being syndicated through multiple channels. The opinions expressed are solely those of the author and do not represent the views of GovCloud Network, GovCloud…

The Endpoint Imperative: ID’ing and Overcoming the Stumbling Blocks to Digital Transformation

By G C Network | December 6, 2017

Digital Transformation is the No 1 priority for organizations large and small. It’s imperative that IT remove any obstacles to digital transformation success – including outdated PCs and mobile devices.…

Industry Verticals Tackle Unstructured Data

By G C Network | December 1, 2017

  Organizations around the world are struggling to cope with the current data explosion. A vital characteristic of this data is that it is unstructured and represents things like email,…

The Endpoint Imperative: The Perimeter is Dead; Long Live the Perimeter!

By G C Network | November 27, 2017

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The Data Storage Explosion

By G C Network | November 25, 2017

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Digital Transformation Drives Mainframe’s Future

By G C Network | November 15, 2017

  Digital Transformation is amplifying mainframe as mission critical to business growth more than ever before. With 70% of the world’s corporate data and over half of the world’s enterprise…

Joab Jackson, in his “Cloud computing leaving relational databases behind” article, makes some pretty interesting points on the incompatibility of relational databases with cloud-based infrastructures. He first list the various cloud optimized databases:

And then notes that they all have cloud computing-specific characteristics.

  • They can be run in distributed environments,
  • None of them are transactional in nature, and
  • They all sacrifice some advanced querying capability for faster performance.

Since the national security community literally lives and dies by the information in their relational databases, what does that mean if the community adopts cloud technology in order to benefit from the scalability and economy?

The key issue here is that in cloud implementations, database material is spread across different locations. Executing complex queries with relational databases across vast geographic distances can slow response time. It is also difficult to design and maintain an architecture to replicate relational data across different locations and keep that data in sync if one location goes down.

Since cloud implementations are seemingly the wave of the future, community CIO’s and analyst alike need to start thinking about the implications of the coming transition from relational databases today.

Follow me at https://Twitter.com/Kevin_Jackson

G C Network

3 Comments

  1. Randall on October 7, 2008 at 10:30 am

    I don’t know Kevin, I think relational db’s will be around for a long time.

    You know when we start thinking in the cloud, we think every cloud computing application is going to have millions of users so can’t use a relational database, but there are lots and lots of problems that relational databases solve — in the cloud — very easily.

    And there are some very scalable websites built on top of relational databases.



  2. James Urquhart on October 8, 2008 at 5:03 pm

    I second Randall’s comment. If your database is focused on complex set-based analytics, then stick to a relational database. If you need to map the results of that analytics to a large audience, replicate results from the relational query results to either static pages or perhaps a Map-Reduce based data store. It doesn’t have to be a “paradigm shift” in any way shape or form.



  3. Anonymous on April 30, 2009 at 1:53 am

    ^^Thanks!!

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