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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.

Hey @maslett, Do you have any plan to update the #NoSQL LinkedIn Skill Index report? Last was more than 1y ago: https://t.co/HKRWJID8nz

— 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.

Interesting…

Three years after we (re)started tracking mentions of NoSQL database in LinkedIn member profiles it is time to retire the NoSQL LinkedIn Skills Index – at least in terms of regular updates.

We started tracking mentions of NoSQL database in LinkedIn member profiles in order to keep an eye on trends that could shape the industry, but after three years it has become clear that in terms of LinkedIn member profiles there is only one trend: the total dominance of MongoDB.

Once again MongoDB was responsible for more than 50% of all mentions of NoSQL database in LinkedIn member profiles in Q3, placing it way, way ahead of the nearest competitor.

As always there were changes of position further down the rankings, with OrientDB overtaking Accumulo and RethinkDB overtaking Voldemort. We are talking about very small numbers, however. To be honest tracking these numbers has become something of a chore given the lack of change, and even the addition of Microsoft Azure DocumentDB and Google Cloud Bigtable couldn’t lift our interest

For the record, the fastest growth in the quarter was recorded by RethinkDB, with mentions up 36.2%, followed by multi-model players OrientDB (28.0%) and ArangoDB (23.0%), as well as Aerospike (22.1%). Inside the top ten, DynamoDB had the fastest growth (16.5%).

However, since none of the top 10 look like changing places any time soon, and none of the players outside stand any chance of breaking into the top 10, the time has come to retire the NoSQL LinkedIn Skills Index.

Perhaps we’ll pull it out and freshen it up on special occasions, however.

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.

MongoDB has maintained its feat from last quarter of being responsible for more than 50% of all mentions of NoSQL database in LinkedIn member profiles.

As with Q1 there were once again three changes of position in the rankings in Q2. DynamoDB overtook Riak to claim eighth place, having also gained a place (on MarkLogic) in the previous quarter.

Further down the list ArangoDB also gained a place for the second successive quarter – this time on AllegroGraph, while Titan gained a place on Voldemort. As noted in the previous blog post, FoundationDB has been removed from the analysis following its acquisition.

The fastest growth in the quarter was recorded by RethinkDB, with mentions up 46.1%, followed by multi-model players OrientDB (33%) and ArangoDB (32.7%), as well as Aerospike (26%). Inside the top ten, DynamoDB had the fastest growth (17.0%).

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.

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.

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.

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.

As usual there’s an early finish to the quarter for our NoSQL LinkedIn Skills Index, which tracks mentions of NoSQL database in LinkedIn member profiles, but as usual that has little impact on the results as MongoDB continues to account for 49% of all LinkedIn member profiles mentioning a NoSQL project.

There are a few changes further down the list of NoSQL projects with both Aerospike and OrientDB overtaking Voldemort, as predicted, and RethinkDB overtaking Hypertable.

As noted last quarter, there was a chance that Aerospike might get overtaken by OrientDB and MarkLogic might get overtaken by DynamoDB. As it happens both held off their respective challengers but their places remain under threat.

ArangoDB had the fastest rate of growth in the quarter (21.57%), followed by RethinkDB (21.28%), FoundationDB (19.74%), OrientDB (18.02%) and Aerospike (17.62%). DynamoDB was next, and the fastest growing inside the top ten, with 14.37%.

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.

Time for a new look for our NoSQL LinkedIn Skills Index, which tracks mentions of NoSQL database in LinkedIn member profiles, as it enters its third year. We’ve switched from a bar chart to a line chart to reduce clutter – at least on the horizontal plane.

Unfortunately the dominance of MongoDB means that the chart is inevitably cluttered on the low end of the vertical plane, but the line chart at least provides a clear illustration of that dominance.

There are a few other changes of note further down the list, with FoundationDB gaining a place on Sparksee (as predicted) thanks to it having the fastest rate of growth (40.74%) in Q3. ArangoDB also gained a place on InfiniteGraph thanks to recording the second fastest growth rate (37.84%).

We noted last time that Q3 could see OrientDB overtake Aerospike, unless the release of Aerospike as open source had an immediate impact on interest levels. That seems to have occurred, with Aerospike recording 23.80% growth to not only hold off OrientDB but gain ground on Voldemort, which looks likely to be overtaken by both Aerospike and OrientDB in Q4. Inside the top 10 there is also a chance that DynamoDB could overtake MarkLogic in Q4.

Titan (25.97%), RethinkDB (22.88%) and DynamoDB (22.85%) also deserve a mention in terms of growth in Q3, while Neo4j was the fastest growing of the top 10 with 17.99%. MongoDB was of course most popular NoSQL database by a considerable margin, once again accounting for 49% of all LinkedIn member profiles mentioning a NoSQL project.

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.

There isn’t a great deal of movement in the June update to our NoSQL LinkedIn Skills Index, which tracks mentions of NoSQL database in NoSQL member profiles. At the tail-end of the list FoundationDB jumped a place above InfiniteGraph and can be expected to gain another place on Sparksee in the next quarter, but otherwise it’s very much ‘as you were’.

Q3 could also see OrientDB overtake Aerospike, unless the recent release of Aerospike as open source his an immediate impact on interest levels. FoundationDB was among those with the fastest growth rates in Q2 at 35.0%, although the faster growth came from ArangoDB (48.0%) followed by RethinkDB (36.6%), Titan (27.1%) and Couchbase (18.9%).

Once again MongoDB was the most popular NoSQL database by a considerable margin, representing 49% of all LinkedIn member profiles mentioning a NoSQL project.

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 latest version of our NoSQL LinkedIn Skills Index shows the continued strength of MongoDB, as the document database increased its share back to 49% of all mentions of NoSQL databases in Q1.

We were surprised to find MongoDB’s proportion of the Index (based on the number of LinkedIn member profiles mentioning each of the NoSQL projects) actually declined in the previous quarter: from 49% to 48%. The Q1 results suggest that was just a blip.

We had wondered whether Couchbase’s leap of two places in our previous update might also be a blip, but in fact Couchbase retained seventh spot in Q1 and there were no changes of position within the top ten this quarter.

Outside the top ten, Titan gained a place on Hypertable, as expected, while RethinkDB leapfrogged AllegroGraph, thanks to recording the third fastest growth (34.94%) in the quarter. The fastest climber, in terms of mentions, was FoundationDB (42.86%), followed by ArangoDB (38.89%). DynamoDB (28.03%) and Titan (26.88%) complete the list of the top five fastest climbers.

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.

There’s an early end to the quarter for our NoSQL LinkedIn Skills Index, based on the number of LinkedIn member profiles mentioning each of the NoSQL projects, just as there was in 2012.

We predicted in Q3 that Couchbase would overtake MarkLogic this quarter, which came to pass, but were somewhat surprised to see Couchbase also leapfrog Riak to claim 7th place. It’s almost too close to call between the three, though we wouldn’t be surprised to see those places change hands in the coming quarters.

There were no other changes of position outside the top ten, although Titan is bearing down on Hypertable having recorded the fastest growth in Q4 (49.5%) and can be expected to gain a place in Q1 2014. The second fastest climber, in terms of mentions, was FoundationDB, followed by ArangoDB, RethinkDB and Apache Cassandra (the latter being particularly notable since it was the only one of the five fastest growers to also be one of the top ten most mentioned in LinkedIn member profiles).

That growth was of course not enough to close the gap on MongoDB as the most mentioned NoSQL database in LinkedIn member profiles, although for the first time MongoDB’s proportion of the overall total actually declined – from 49% in Q3 to 48%, upsetting our prediction that MongoDB would pass the 50% threshold in Q4.

It will be interesting to see whether MongoDB’s dominance declines again in Q1, although either way it retains a monumental lead over all the other NoSQL databases in terms of mentions in LinkedIn profiles.

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.