February 6th, 2015 — Data management
NoSQL enters the multi-model age. And more
And that’s the data day, today.
February 3rd, 2015 — Data management
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.
Along with releasing version 3.0 of its document database, MongoDB also began to share (at least with us) its long-term multi-model vision for MongoDB, explaining how the pluggable storage engine architecture could enable the database to support multiple data models – such as key value, graph and relational.
Meanwhile DataStax described how its acquisition of Aurelius will see it developing a graph database to complement Apache Cassandra’s wide column key value model, and explained its multi-model strategy.
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.
January 30th, 2015 — Data management
Microsoft previews Power BI update. And more
And that’s the data day, today.
January 23rd, 2015 — Data management
Microsoft acquires Revolution Analytics. And more
And that’s the data day, today.
January 16th, 2015 — Data management
Funding for MongoDB, Basho, Neo and Treasure Data. And more
And that’s the data day, today.
January 9th, 2015 — Data management
GraphLab changes name to Dato, raises $18.5m. 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.
December 12th, 2014 — Data management
Hortonworks prices IPO at $16m, opens at $24. And more
And that’s the data day, today.
December 5th, 2014 — Data management
OpenText to acquire Actuate for $272m
And that’s the data day, today.
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