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Apache SystemML Reviews & Product Details

Apache SystemML is a machine learning platform optimal for big data that provides an optimal workplace for machine learning using big data, it can be run on top of Apache Spark, where it automatically scales your data, line by line, determining whether your code should be run on the driver or an Apache Spark cluster.

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The Apache Software Foundation

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Apache SystemML Community

Product Description

Apache SystemML is a machine learning platform optimal for big data that provides an optimal workplace for machine learning using big data, it can be run on top of Apache Spark, where it automatically scales your data, line by line, determining whether your code should be run on the driver or an Apache Spark cluster.

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SC

Snehal C.

iOS Developer

Mid-Market (51-1000 emp.)

7/27/2024

"A Powerful Tool for Big Data Machine Learning"

4.5/5

What do you like best about Apache SystemML?

I like best about Apache SystemML is its semaless scalability from single machines to large cluster and its integration with Apache Spark for Efficent big data processing. Review collected by and hosted on G2.com.

What do you dislike about Apache SystemML?

I dislike about Apacke SystemML is its steep learning curve for beginners. It requires users to be confertable with coding and big data frameworks,which can be challenging for those new to machine learning or big data tools. Review collected by and hosted on G2.com.

What problems is Apache SystemML solving and how is that benefiting you?

Apache SystemML solves the problem of efficently running machine learning algorithms on large database.By seamlessly scaling from single machines to large clusters and optimizing resource use,it handles big data tasks effectively.This benefits users by enabling faster processing times and more accurate machine learning models,which is crucial for data-driven decission-making. Review collected by and hosted on G2.com.

RK

RAKESH K.

Assistant Professor and Junior Research Fellow

Education Management

Mid-Market (51-1000 emp.)

3/5/2024

"Apache SystemML is Good to work with Machine Learning along with Bigdata"

4/5

What do you like best about Apache SystemML?

Apache SystemML is from IBM which declared it as open source. Apache SystemML is good platform to solve Machine Learning problems. In Machine Learning we need of a lot of data and handling those bigdata is not an easy task which can be done seamlessly with Apache SystemML. It is also helpful for data scientist or engineers. It customizes and optimizes algorithms based on there characteristics. It supports popular R, Python language which is helpful also. With the add on help of apache spark it flourish it's accuracy well. Apache SystemML automatically generate hybrid runtime plans ranging from single node, in memory computation, distributed computation on Apache Hadoop and Spark. Review collected by and hosted on G2.com.

What do you dislike about Apache SystemML?

Apache SystemML is still struggling for customer acquisition. Also it lacks of project collaboration. Sometimes it seems slow while processing data. Though there is documentations but it needs an update periodically. Review collected by and hosted on G2.com.

What problems is Apache SystemML solving and how is that benefiting you?

We do work in the field of Machine Learning with this tool which helps us to optimize using optimizers functions. Using Apache SystemML we create and extend Machine Learning frameworks which are commercial friendly and scalable. We use DML, optimizer stack and LDescribe for efficiently use ML algorithms. Review collected by and hosted on G2.com.

ON

Onkar N.

Associate Software Engineer

Mid-Market (51-1000 emp.)

7/26/2024

"Scalable and Flexible ML for Big Data"

5/5

What do you like best about Apache SystemML?

I like that Apache SystemML lets you write ML models in a simple way and handles the complex details of execution and scaling for you. Review collected by and hosted on G2.com.

What do you dislike about Apache SystemML?

Another downside is that Apacke SystemML can be less flexible for customer ML algorithms compared to lower-level libraries, and its performance may vary based on how well the automatic optimization align with specific use cases. Review collected by and hosted on G2.com.

UC

Verified User in Computer & Network Security

Small-Business (50 or fewer emp.)

1/3/2024

"Very Good Platform"

4.5/5

What do you like best about Apache SystemML?

As we know the machine learning is deals with the Big Data so in the Apache SystemML is a platform who mainly focus on the bigdata that is require to create a machine learning module. So that will have the more accuracy.It can be run over the apache spark. Review collected by and hosted on G2.com.

What do you dislike about Apache SystemML?

Dont have the complete guide documentation also not highly available. Review collected by and hosted on G2.com.