Difference between MapR-DB and Hbase

Question

I am bit new in MapR but i am aware about hbase. I was going through one of the video where I found that Mapr-DB is a NoSQL DB in MapR and it similar to Hbase. In addition to this Hbase can also be run on MapR. I am confused between MapR-Db and Hbase. What is the exact difference between them ?

When to use Mapr-DB and when to use Hbase?

Basically I have one java code which do bulk load in Hbase on MapR , Now here if I use same code that i have used for Apache hadoop , will that code work here?

Please help me to avoid this confusion.

Answer 1

They are both NOSQL, wide column stores.

HBase is open source and can be installed as a part of a Hadoop installation.

MapR-DB is a proprietary (not open source) NOSQL database that MapR offers. A core difference that MapR will detail with MapR-DB (along with their file system (they do not use HDFS)) is that MapR-DB offers significant performance and scalability over HBase (unlimited tables, columns, re-architecture to name a few).

MapR maintains that you can use MapR-DB or HBase interchangeably. I suggest testing on both extensively before committing to one vs the other. You also need to realize that MapR-DB is MapR's proprietary NOSQL HBase equivalent and if you require support for MapR-DB you'll have to get that from MapR (HBase support can come from any of the other Hadoop distributions as well as the open source community).

Some links you should look at: http://www.theregister.co.uk/2013/05/01/mapr_hadoop_m7_edition_solr/ https://www.mapr.com/blog/get-real-hadoop-enterprise-grade-nosql#.VVfHuvlVhBc