MapR Archived Reviews (More than two years old)

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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 have the ability to lockdown and secure the file system better than the Apache derivatives… 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… 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»

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 of their platforms, however you have to consider the ease and cost of development and… more»

Which solution did I use previously and why did I switch?

I support multiple vendors and their solutions.
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 stores data in MapR-FS and it does not have region… 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 customer interaction and marketing data. A NoSQL… 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 of MapR-DB.

Which solution did I use previously and why did I switch?

Yes. We were using HBase for our previous solutions and one of our products. Our customer had already purchased the license of MapR, so the decision was not from our side.

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 side is that its storage is inherently within the… more»

Which other solutions did I evaluate?

Yes we prefered HBase, as it is distribution independent. All the industry major Hadoop distributions also support HBase. However, our customer had already made the… more»
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Consultant
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»
Vendor
Member of Technical Staff at a tech company with 51-200 employees
Jan 03 2016

What is most valuable?

It has several valuable features, among them being the file system, High-Availability services, and NFS.

How has it helped my organization?

This product enabled us opening up endless possibilities in data analytics, IOE/IOT, and predictive analysis.

What needs improvement?

It'd like to see file system auditing, data encryption, and certification of other vendors' tools.

Which solution did I use previously and why did I switch?

We were using another solution and switched because of MapR's highly available services, and the robust file system.

What other advice do I have?

Make sure the third-party applications you are trying to implement with it are certified with this product. If not, please start discussing with the MapR team that they can start a partnership with the third-party application vendor.
Vendor
Senior Data Warehouse Specialist / Team Leader at a tech vendor with 10,001+ employees
Jan 03 2016

What is most valuable?

MapR is one of three leading Hadoop distributions. The key differentiators I found the most valuable are: * Lack of namenode (no SPOF) * Performance – the base components are implemented in C * NFS functionality – copying to MapR FS is as… more»

How has it helped my organization?

I haven't yet used it in production environments, but I've used it extensively in two proofs-of-concept.

What needs improvement?

It would be nice to have new developments in the Apache space (Spark, Storm, etc.).

Which solution did I use previously and why did I switch?

I tested both Cloudera and Hortonworks, and I rate it similarly to Hortonworks and slightly higher than Cloudera.

What other advice do I have?

I don't have any advice because the installation documentation is superb.
Vendor
IT Project Director at a tech company with 10,001+ employees
Nov 26 2015

What do you think of MapR?

What is most valuable?

The most valuable features for us are-- MapR-DB Multi-tenancy

How has it helped my organization?

It's allowed us to use Twitter as a data source to monitor the effectiveness of our marketing campaigns.

What needs improvement?

The UI for administration still has a lot of manual work to set up the cluster and get it running.

For how long have I used the solution?

We've used it for six months.

What was my experience with deployment of the solution?

No issues encountered with deployment.

What do I think about the stability of the solution?

No issues encountered with stability.

What do I think about the scalability of the solution?

No issues encountered with scalability.

How are customer service and technical support?

Customer Service:…
Consultant
Big Data Engineer at a tech services company with 51-200 employees
Nov 24 2015

What is most valuable?

* Multi-tenancy * Security * Ease of configuration * Bundled ecosystem support * MapR NFS - especially since we use Docker containers in every public-facing app and a few… more»

How has it helped my organization?

The features it comes with we leverage, like MapR NFS, for example. This allows our Docker environment to write directly to HDFS and NoSQL on the MapR cluster without the… more»

What needs improvement?

I'd say we've had issues with pricing. Also, we had CLDB errors with M3 that made it seem a little unstable, but after getting some support with it, we learned how the… more»

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

We have a multi-tenant pricing model for clients using the platform so we expect to get more back, but the distribution is quite expensive so assessing needs and use cases… more»

Which solution did I use previously and why did I switch?

I've only used MapR in production.

What other advice do I have?

In terms of Hadoop growing pains, there was some pain, compared to the M7 license which I found largely painless. However, it was nowhere near the amount of pain I had… more»

Which other solutions did I evaluate?

We tried vanilla Hadoop in tests, as well as Hortonworks and Cloudera sandboxes.

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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