The Data Day, A few days: May 16-29, 2015

Total Data market to hit $115bn by 2019. And more

And that’s the data day, today.

NoSQL LinkedIn Skills Index – March 2015

It finally happened: 11 quarters in to our NoSQL LinkedIn Skills Index, which tracks mentions of NoSQL database in LinkedIn member profiles, MongoDB finally hits the 50% mark, representing half of all mentions of NoSQL databases in Q1.


That wasn’t the only change in the rankings in Q1 as there were no fewer than three changes of position in the rankings. In the top 10 DynamoDB overtook MarkLogic to claim ninth place, while lower down OrientDB overtook Aerospike in 12th place, while ArangoDB overtook Sparksee to enter the top 20.

In fact, ArangoDB recorded the highest rate of growth in the quarter, with LinkedIn mentions up 77.4%. We would expect it to overtake FoundationDB in Q2 even if the latter hadn’t just been taken out of the market by Apple. As such we’ll remove it from the rankings next quarter anyway.


It was a good quarter for other multi-model databases as well as ArangoDB as OrientDB climbed a place thanks to 42.5% growth. Aerospike lost that place to OrientDB despite recording the third fastest growth rate, with 29.6%. Other fast climbers were FoundationDB, Titan (despite Aurelius being acquired by DataStax – incidentally Titan will remain in the rankings since it remains available) and RethinkDB.

Inside the top ten, DynamoDB had the fastest growth (20.2%) and stands a chance of gaining another place next quarter by overtaking Riak.

Of course, we would also note that this is not meant to be a comprehensive analysis, but rather a snapshot of one particular data source.

The Data Day, A few days: February 14-20, 2015

Open Data Platform launched. And more.

And that’s the data day, today.

The Data Day, A few days: February 7-13, 2015

HDS acquires Pentaho. And more

And that’s the data day, today.

The Data Day, A few days: February 2-6, 2015

NoSQL enters the multi-model age. And more

And that’s the data day, today.

It’s the end of NoSQL as we know it (and I feel fine)

Last week I tweeted that this week was shaping up to be a watershed week in the history of NoSQL. I was referring, of course, to MongoDB launching 3.0 and DataStax acquiring Aurelius – although more specifically what the context of these two announcements tells us about the future of NoSQL.

While each of these announcements could be considered significant in its own right in combination they suggest a new stage in the evolution of NoSQL and a clear signal that the future of NoSQL will be driven by database products that support multiple data models.

When we formally started covering NoSQL in 2010 it made sense to divide the various projects into four groups: key value stores, distributed (wide) column stores (or BigTable clones), graph databases, and document-oriented databases.

By early 2013 it had become obvious that there was another emerging category: multi-model databases.

Multi-model NoSQL databases have therefore been around for several years but while we have seen growing interest in these multi-model databases, in terms of widespread adoption they still lagged behind the early specialist NoSQL databases. That’s what makes the recent announcements by MongoDB and DataStax so significant.

    1. Along with releasing version 3.0 of its document database, MongoDB also began to share (at least with us) its long-term multi-model vision for MongoDB, explaining how the pluggable storage engine architecture could enable the database to support multiple data models – such as key value, graph and relational.
    1. Meanwhile DataStax described how its acquisition of Aurelius will see it developing a graph database to complement Apache Cassandra’s wide column key value model, and explained its multi-model strategy.
  • Multi-model momentum may have been growing for years but the fact that the commercial providers behind the two most popular NoSQL databases have detailed their plans to go multi-model confirms that the multi-model approach is the future of NoSQL.

    Indeed, since we expect to see similar moves from other NoSQL players it will become increasingly difficult to divide the NoSQL space in terms of key value stores, wide column stores, graph databases, and document-oriented databases. Instead it makes sense to divide the NoSQL projects in terms of whether they are single-model or multi-model.

    451 Research clients can read more about our perspectives on MongoDB’s strategic direction, as well as DataStax’s acquisition of Aurelius, and the wider implications for the NoSQL sector.

    The Data Day, A few days: January 2-9 2015

    GraphLab changes name to Dato, raises $18.5m. And more

    And that’s the data day, today.

    The Data Day, A few days: November 27-December 5 2014

    OpenText to acquire Actuate for $272m

    And that’s the data day, today.

    The Data Day, A few days: September 6-12 2014

    Clustrix under new management. FoundationDB adds SQL. And more

    And that’s the data day, today.

    The Data Day, A few days: August 22 – September 5 2014

    Teradata acquires Think Big. DataStax raises $106m. And more.

    And that’s the data day, today.