MapR Reviews

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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 have the ability to lockdown and secure the file system better than the Apache derivatives, which... 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 scalability, supported tools, and the stability of the tools. MapR has MapR-DB, which supports most... 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 extensibility to create products like MapR-DB (Binary and JSON tables) and MapR Streams. One... more»
Consultant
Technical Architect at a tech services company with 10,001+ employees
Jun 29 2017

What do you think of MapR?

Valuable Features: 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 stores data in MapR-FS and it does not have region server like in HBase. • Improvements to My Organization: We have a couple of Hadoop development projects actively going on. Some of them are time series data and others involve customer interaction and marketing data. A NoSQL data storage is ideal for such applications. • Room for Improvement: It would be great if it were completely compatible with HBase. • Use of Solution: 9 months. • Stability Issues: No. • Scalability Issues: No. • Customer Service: Our customer purchased a paid support service and so far MapR has addressed our issues well. They even provided a fix...
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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 across any solution based on the Hadoop architecture, but... 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 warning raised against the discrepancies observed on Sensor’s... 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.

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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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