Mahout Reviews & Product Details

The best thing about Mahout is it is a scalable Machine learning library that is unique, I have developed a machine learning model on more than 10 million datasets. Review collected by and hosted on G2.com.

What I disliked about Mahout is after model development or during model development, it doesn't support many scientific calculation libraries, and the visualization part can be further improved. Review collected by and hosted on G2.com.

Apache mahout is used for scalable machine learning project implementation and development Review collected by and hosted on G2.com.

It's use needs prior expertise in the machine learning and the tool to implement any projects. Review collected by and hosted on G2.com.

I liked that this system was easy to use and helps with data storage management Review collected by and hosted on G2.com.

I did not like how clunky the interface felt at the beginning but it did get better with time Review collected by and hosted on G2.com.

The best thing about Mahout is it sits on top of Hadoop systems and we can easily use data from Hadoop file systems to do analysis using Mahout. I've basically used it for a comparison analysis between Sparks MLib and Mahout. Mahout is more for a statistician and depends on the use case. Review collected by and hosted on G2.com.

The compute time is relatively slow when compared to other similar frameworks like Mlib and tenserflow. Also, there's no enterprise support as such and it's purely an open source framework with limited online knowledge repository. Review collected by and hosted on G2.com.

It is a linear framework that is designed by Apache. Very assisting for engineers, mathematicians for working on their hypothesis. Helps in deploying large scale learning algorithms with short codes by this software. Also available in the models of ML that can assist to test and verify your data for usage. Review collected by and hosted on G2.com.

I have found no issue while using it. So I like it. Review collected by and hosted on G2.com.

Mahout is a great tool because I can use this for my financial workflows and run not only summary statistics, but also more advanced statistics. I can also do linear correlation along with autocorrelation in Mahout to find out discrepancies in our financial data. Review collected by and hosted on G2.com.

I cant think of downsides for Mahout at all. It's a good tool. Review collected by and hosted on G2.com.

The inclusion of the comments as part of the analyzed text allows taking into account the user names (authors of the comments). Review collected by and hosted on G2.com.

It does not facilitate the inclusion of team members who contribute most in certain classes of change requests. Review collected by and hosted on G2.com.

The best thing about Mahout is that it is free. It supports working on big data using Map Reduce, and has GPU enabled acceleration too. Review collected by and hosted on G2.com.

Although mainly based on Scala and it supports Python, I would have been more happy if majority of the things could have been done in Python as it is one of the most popular language. Review collected by and hosted on G2.com.

Mahout lets me run machine learning algorithms on clustering and classification easily on Hadoop. It's a great free scalable implementation and I'm pretty happy about it Review collected by and hosted on G2.com.

I think one of the problems I have is various algorithms tend to still be missing that I would otherwise like to see. Review collected by and hosted on G2.com.

it is an excellent tool basically an open source made under an theory for linear algorithms in matrix factorization for global companies. Review collected by and hosted on G2.com.

It doesn't fulfills or covers all kinds of algorithms which limitizes it. Review collected by and hosted on G2.com.