I was recently prompted by OrientDB CEO Luca Garulli to take another look at the NoSQL LinkedIn Skills Index, which we previously updated on a regular basis between September 2012 and 2015.
— Luca Garulli (@lgarulli) December 9, 2016
I wouldn’t read too much into the results since there’s been such a long period between updates, and this is – as ever – just a snapshot of one particular data source. However, they are definitely interesting, especially when you consider that we retired the NoSQL LinkedIn Skills Index primarily because the results had become so boringly predictable.
As such I’d make the following observations without any additional comment:
- It is interesting to note that MongoDB’s share of mentions of NoSQL databases in LinkedIn member profiles has declined since September 2015, from 51% to 48%. Of course, MongoDB remains the number one by a considerable margin.
- It is also interesting to note that Redis has climbed above Cassandra to claim second spot.
- Similarly it is interesting that Neo4j has climbed above CouchDB for fifth place.
- And it is also interesting that DynamoDB has overtaken Couchbase for eighth place.
- It is also interesting that the two fastest growing NoSQL databases, in terms of mentions in LinkedIn profiles, are Google Cloud Bigtable (up 557%) and Azure DocumentDB (up 254%).
- And it is also interesting that the third fastest growth came from RethinkDB, despite the recent demise of the company of the same name.
- Those growth rates saw Google Clooud Bigtable climb above Voldemort, ArangoDB, Hypertable and Allegrograph, while Azure DocumentDB climbed above Titan and Voldemort, and RethinkDB climbed above Titan and Accumulo.
Since Luca prompted another look at the results, I should also probably point out that mentions of OrientDB grew at a healthy 83% as OrientDB held on to 11th place in the Index.