Datomic : Moving Beyond the Current Generation of Relational and NoSQL Databases

It’s really seldom that you get a chance to see a different thought pattern emerge in database design that literally covers the key advantages of both relational and NoSQL databases and offers a new set of features. Datomic is an aggressive attempt to create a next-generation database that moves us beyond the usual and is built around running in current and future cloud architectures. Let’s start with the some of the features in Datomic. It provides support for ACID transactions, Joins, a sound data model and a logical query language called Datalog. Most of all it breaks with the rigidity of document-based models and relational database models. It also breaks with a model of mutability and a lack of audit data trails. To understand it is worth taking a tour of both it and it’s query language. One surprising aspect that it provides this by using engines like Couchbase, Cassandra,Riak, etc as nothing more than storage engines or services.  Let’s start with the tour  of Datomic :

By deconstructing the current generation of databases and implementing a modern database focused on breaking with designs from decades ago or some of the issues with the newer NoSQL databases (lack of Joins, lack of ACID, etc).   To understand the power of the database you have to explore the power of the datalog query language:

Large, medium and small companies using Datomic.  So you may be interested in the “why”.  In this presentation – developers of the Brazilian NuBank expose four hidden super-powers of Datomic.  In this case, the Clojure programming language is used.

and here is another use-case from Room Key ( joint project of Hilton, Choice, Hyatt, IHT, Marriot, Windom) :


More reading :





Presentation/Demo : Couchbase in Containers with Bare-Metal Performance and Triton’s Remarkable Elastic Provisioning

Virtualization is a key aspect of modern computing architectures. Often the choice to go to hardware-level virtualization induces a damage to the performance characteristics of our virtual machines. As I have mentioned before – SmartOS zones and Docker offer a better way to go.  In this presentation, Bryan Cantrill of Joyent provides a rapid-fire and humorous presentation highlighting the history of virtualization and the advantages of running Couchbase containers leveraging Triton, SmartOS and Docker. Also demonstrated is a remarkable display of Triton elasticity – easily creating a number of Couchbase servers on-the-fly all within lightweight virtualized containers running across a datacenter.  What is  offered is a sophisticated,highly scalable, highly performant, elastic solution for a datacenter.

Also can be found here.

It gets better.  If you are interested in deploying the Couchbase containers yourself it is fairly straightforward and you can get the “recipe” from the following blog :



Couchbase Use-Case : LinkedIn

Following on the previous post, today’s post discusses an interesting Couchbase use-case.

Often the questions about a particular technology or product are –

  • who is using it successfully ?
  • how is it being used ?
  • how scalable is it ?
  • does it have good performance (usually within a context) ?

In Couchbase’s case they have a large volume examples of customer use-cases.  One example is LinkedIn.  In the first presentation there is a discussion of how LinkedIn uses Couchbase :

Within this context, an obvious second presentation is a presentation of Couchbase server scalability and performance at LinkedIn: