Soujanya Naganuri - 2017-08-16

As my colleague Stephen said remaining week, every body has exciting records. while i was at O’Reilly’s Strata convention in advance this month, i was lucky enough to meet Karl Van den Bergh of Jaspersoft, a business intelligence employer that asserts it makes the sector’s most famous BI software. but it seems that Jaspersoft has some very thrilling statistics that’s applicable some distance beyond its very own arena — due to the fact its software can hook up with any number of data assets, inclusive of a number of NoSQL databases. They’ve taken one approach to it through growing a “large information Index” that has a while-series records. Karl changed into type enough to proportion this records with us, so we’ll be taking a few one-of-a-kind techniques to searching at it over the following couple of weeks. At this primary skip, we’ll just examine a precis of the full downloads among

What’s striking about that is the huge consistency it shows with statistics from other resources as well as my intuitive expectation that Hadoop, Mongo, and Cassandra could show up on the pinnacle of the list. some interesting points are the relative popularities:

Hadoop and Mongo are quite similar;
Cassandra changed into pretty low, to me, even though it’s quite competitive with CouchDB;
Redis indicates a reasonably sturdy placement, assisting its status as an up-and-comer;
I break up the Hadoop downloads right into a stacked histogram displaying Hive, HBase and Avro one at a time. Over this time span, the extra square-like Hive beat out HBase with 50% more downloads: three,682 to two,360. this will be a mirrored image of the developing recognition of massive facts programs for human beings new to the Hadoop atmosphere, who're looking for a acquainted toolset to lower the barrier to access. Avro, which you may now not have heard of, is a serialization layout for Hadoop that’s designed for records-in depth programs, so it’s no marvel that a spot use case suggests less recognition than the more extensively relevant HBase and Hive techniques for accessing Hadoop.

The factor that’s specifically powerful about this records is that everyone has something adore it. whether it’s download statistics or internet site visitors, it is able to all offer beneficial insights — specially while mixed with other data like we will do with RedMonk Analytics.