MapR Reviews

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MSegel
Real User
Founder at Chicago area Hadoop User Group (CHUG)
Mar 02 2018

What is most valuable?

MapR’s strength comes from their file system. Because they start with the raw disk, they are able to expose the storage through various APIs and… more»

How has it helped my organization?

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… more»

What needs improvement?

All products have room for improvement. Because of MapR-FS, they have an incredible advantage in terms of stability, cross cluster replication, and… more»

What's my experience with pricing, setup cost, and licensing?

Caveat Emptor! There are three main vendors of 'Hadoop' and each has their strengths and weaknesses. Its possible to build similar solutions on top… more»

If you previously used a different solution, which one did you use and why did you switch?

I support multiple vendors and their solutions.
Jyothish Kalavoor
Consultant
Technical Architect at a tech services company with 10,001+ employees
Jun 29 2017

What is most valuable?

MapR-DB is a NoSQl datastore on top of MaprFS. The data can be updated and random data can be picked very fast. MapR-DB… more»

How has it helped my organization?

We have a couple of Hadoop development projects actively going on. Some of them are time series data and others involve… more»

What needs improvement?

It would be great if it were completely compatible with HBase.

What's my experience with pricing, setup cost, and licensing?

The MaprDB comes with an "extract" cost. So if the requirements include Hbase, I would suggest going with HBase, instead… more»

If you previously used a different solution, which one did you use and why did you switch?

Yes. We were using HBase for our previous solutions and one of our products. Our customer had already purchased the… more»

What other advice do I have?

The biggest drawback is that it has vendor locking. It's proprietary in MapR distribution and extract cost. The positive… more»

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MapR MapReduce software makes Apache Hadoop more affordable and easier to use for big data analytics, business intelligence, distributed computing, and more.
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