A few weeks ago I updated our previous analysis of LinkedIn search results to take us up to the end of Q2 2012, but for one reason or another I didn’t get around to posting the results. As you can see from the results, there isn’t anything particularly controversial to say about them, other than that MongoDB continues to extend its lead over the rest in terms of the number of mentions in LinkedIn member profiles.
One thing that isn’t immediately clear from the chart is that Neo4j overtook Riak in the second quarter to claim sixth place by a narrow margin. Also, Apache HBase has consolidated its third place position having overtaken Apache CouchDB in the first quarter.
Neo4j’s ascendency is due to it having the fastest growth rate of all the NoSQL projects in Q2, according to our search results. The number of Neo4j mentions in LinkedIn profiles grew 65.8% between our March and June searches, followed by MongoDB (59.5%) and Redis (59.1%).
As you can see, I have also added Amazon’s DynamoDB to the list for this iteration. It will be interesting to see how it performs going forward. As usual, it should be noted that the results for Apache Cassandra are probably disproportionately low since we have to search for the full phrase in order to avoid including people called Cassandra.
I have also adjusted once again how we assess Couchbase/Membase, having belatedly realised that LinkedIn supports boolean searches. As of this point forward, the result represents a search for Membase OR Couchbase.
Once again, we would also note that this is not meant to be a comprehensive analysis, but rather a snapshot of one particular data source.