August 4th, 2017 — Data management
The data and analytics swamp will not defeat him
And that’s the data day, today.
January 6th, 2017 — Data management
Grow up, data platforms and analytics: it’s time to be an adult
And that’s the data day, today.
October 2nd, 2015 — Data management
Strata+Hadoop World special
And that’s the data day, today.
October 1st, 2015 — Data management
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.
July 7th, 2015 — Data management
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.
April 10th, 2015 — Data management
Informatica goes private. Domo breaks cover. And more
And that’s the data day, today.
April 7th, 2015 — Data management
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.
February 6th, 2015 — Data management
NoSQL enters the multi-model age. And more
And that’s the data day, today.
December 19th, 2014 — Data management
Teradata acquires RainStor, MongoDB acquires WiredTiger. And more
And that’s the data day, today.
December 18th, 2014 — Data management
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.
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