MapR Archived Reviews (More than two years old)

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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 MapR provides bundled services and UI driven configurations… 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 Data. With the help of our Big Data solution, we have been… 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 - because of velocity of data pouring in. th number of years of data, or a sudden increase in business operations * Define a… more»

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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