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,... 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... more»

Which other solutions did I evaluate??

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,... more»

Which other solutions did I evaluate??

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... more»
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Mabel Kuri
Real User
Director at a tech services company with 51-200 employees
Oct 06 2016

What is most valuable?

The fact that the heavy computation is required on Big Data can be distributed across many nodes in a cluster, makes this solution a winner. Of course the same concept is available... more»

How has it helped my organization?

We implemented this for our client where data from sensors was to be analyzed and sense to be made of this data. Sensor data is huge, and earlier there was no meaningful early... more»

What needs improvement?

* Installations and setups are still a bit cryptic and can be improved. * Skilled resource base in Big Data Tools is generally low and hence project costing is that much higher.

What other advice do I have??

Please make sure following answers are clearly known: * Define the Objectives, and what you are not currently able to achieve without Big Data Tools. * Why is the data big -... more»

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What is MapR?

MapR MapReduce software makes Apache Hadoop more affordable and easier to use for big data analytics, business intelligence, distributed computing, and more.
MapR customers
Valence Health, Goodgame Studios, Pico, Terbium Labs, sovrn, Harte Hanks, Quantium, Razorsight, Novartis, Experian, Dentsu ix, Pontis Transitions, DataSong, Return Path, RAPP, HP
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