NoSQL LinkedIn Skills Index – An Interesting Occasional Update

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.

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.

Interesting…

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NoSQL LinkedIn Skills Index – September 2013

With our rebooted NoSQL LinkedIn Skills Index, based on the number of LinkedIn member profiles mentioning each of the NoSQL projects, now into its second year, I thought it was a good time to add some newer projects to the list; specifically: ArangoDB, FoundationDB, RethinkDB, and Titan.

It shouldn’t surprise anyone to find that those four new additions failed to make a dent in the top ten list of the NoSQL databases most often cited in LinkedIn profiles. However, there is still some interesting activity this quarter, with Riak leapfrogging MarkLogic (as predicted).

linkedinq31

Outside the top ten, Apache Accumulo overtook Voldemort, and saw the second fastest growth in mentions in Q3, behind only DynamoDB and ahead of Neo4j, MongoDB, and Cassandra.

That growth saw MongoDB extend its lead as the most popular NoSQL database, according to LinkedIn profile mentions. As the chart below illustrates, it now accounts for 49% of all mentions of NoSQL technologies in LinkedIn profiles, according to our sample, compared with 47% in June.

allNoSQLq3

Incidentally, adding the four new NoSQL databases to the analysis did not have a significant impact on MongoDB’s share. Without them it still registered 49%. Expect MongoDB to pass the 50% threshold in Q4, however, as well as Couchbase to overtake MarkLogic.

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.

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NoSQL LinkedIn Skills Index – March 2013

As Q1 comes to a close its time to take another look at our NoSQL LinkedIn Skills Index, based on the number of LinkedIn member profiles mentioning each of the NoSQL projects. This is the second update since we rebooted the analysis in September 2012 to account for more products and refine our search terms.

NoSQL_Mar

A few interesting statistics to pick out: Neo4j has, as predicted, jumped ahead of MarkLogic for sixth place. No other changes of position, but outside the top ten, shown here, Apache Accumulo continues to grow well.

In fact, Apache Accumulo had the fastest rate of growth for the second quarter in succession, just ahead of DynamoDB and OrientDB -once again – followed by Apache Cassandra and MongoDB.

MongoDB’s growth means that it once again extended its lead as the most popular NoSQL database, according to LinkedIn profile mentions. As the chart below illustrates, it now accounts for 46% of all mentions of NoSQL technologies in LinkedIn profiles, according to our sample, compared with 45% in December.

NoSQL_Mar2

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NoSQL LinkedIn Skills Index – December 2012

Time again to take a look at our NoSQL LinkedIn Skills Index, based on the number of LinkedIn member profiles mentioning each of the NoSQL projects. This is the first update since we rebooted the analysis in September to account for more products and refine our search terms.

NoSQL_Dec

On the face of it not a lot has changed in the last quarter, although there are a few interesting statistics to pick out. For instance, Neo4j is now practically tied for sixth place with MarkLogic and can be expected to overtake it in Q1 2013. Outside the top ten shown above, Apache Accumulo has gained two places – overtaking Aerospike and Hypertable.

In fact, Apache Accumulo showed the fastest rate of growth in mentions between September and December, just ahead of DynamoDB and OrientDB, followed by Couchbase and MongoDB.

MongoDB’s growth means that it has cemented its place as the most popular NoSQL database, according to LinkedIn profile mentions. As the chart below illustrates, it now accounts for 45% of all mentions of NoSQL technologies in LinkedIn profiles, according to our sample, compared with 43% in September.

nosql_all_dec

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