MapR Benefits

Founder at Chicago area Hadoop User Group (CHUG)
To be clear, all of the main three vendors are capable of supporting multiple big data use cases. Where they differ is going to be in terms of scalability, supported tools, and the stability of the tools. MapR has MapR-DB, which supports most of HBase’s APIs except for coprocessors. It was a conscious decision and it helped to improve the security and stability. MapR also has written most of their tools in C/C++ instead of Java. Again, since MapR supports external tools, solutions are somewhat portable, except for those that rely on things like Kerberos and HBase coprocessors. Note: MapR does support Kerberos, however there are solutions which rely on a combination of products which are still not very well supported. View full review »
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