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Apache SystemML description
Apache SystemML is an open-source machine learning platform designed for handling large datasets ("Big Data"). It allows data scientists to build and run machine learning algorithms without needing to be experts in distributed computing. SystemML can run on its own or on top of other Big Data platforms like Apache Spark, automatically optimizing performance based on the data and available resources. This makes it a versatile tool for companies dealing with large-scale data analysis and predictive modeling.
Who is Apache SystemML best for
We find that Apache SystemML (SystemDS) is ideal for data scientists tackling large datasets, who need a scalable, efficient machine learning platform. It supports the entire data science lifecycle. In our experience, its ability to run on Spark and its R-like syntax make it a versatile choice for large enterprises.
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Perfect for large enterprises (1001+ employees) seeking a scalable machine-learning platform for extensive datasets.
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Well-suited for Software, IT, and Telecommunications, offering versatile data analysis and predictive modeling.
Apache SystemML features
Supported End-to-end data science lifecycle support: SystemDS supports the entire data science lifecycle from data integration, cleaning, and feature engineering to model training, deployment, and serving. |
Supported Declarative languages with R-like syntax: It provides a stack of declarative languages with R-like syntax for different data science tasks and users with varying expertise. |
Supported Hybrid execution plans: High-level scripts are compiled into hybrid execution plans of local, in-memory CPU and GPU operations, and distributed operations on Apache Spark. |
Supported Local and distributed ML model training: SystemDS provides efficient local and distributed ML model training capabilities. |
Apache SystemML pricing
See the Apache SystemML pricing page.
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Apache SystemML has a free plan.
Apache SystemML alternatives
Apache SystemML FAQ
Apache SystemML (SystemDS) is an open-source machine learning platform built for large datasets. We find it empowers data scientists to create and run machine learning algorithms without deep distributed computing knowledge, automatically optimizing performance. It's a versatile tool for large-scale data analysis and predictive modeling.
What is Apache SystemML and what does Apache SystemML do?
Apache SystemML (SystemDS) is an open-source machine learning platform built for large datasets. We find it empowers data scientists to create and run machine learning algorithms without deep distributed computing knowledge, automatically optimizing performance. It's a versatile tool for large-scale data analysis and predictive modeling.
SystemDS (formerly Apache SystemML) integrates with Apache Spark for distributed computing, leveraging its capabilities for enhanced performance with large datasets. It also offers various APIs and supports integration with other tools through its declarative languages.
How does Apache SystemML integrate with other tools?
SystemDS (formerly Apache SystemML) integrates with Apache Spark for distributed computing, leveraging its capabilities for enhanced performance with large datasets. It also offers various APIs and supports integration with other tools through its declarative languages.
We find that Apache SystemML (SystemDS)'s main competitors include Vertex AI, Apache Flink, Valohai, Saturn Cloud, PI.EXCHANGE, and Incorta. These alternatives offer various functionalities for machine learning and data processing.
What the main competitors of Apache SystemML?
We find that Apache SystemML (SystemDS)'s main competitors include Vertex AI, Apache Flink, Valohai, Saturn Cloud, PI.EXCHANGE, and Incorta. These alternatives offer various functionalities for machine learning and data processing.
Yes, Apache SystemML (now SystemDS) is a legitimate and safe open-source machine learning platform. It's backed by the Apache Software Foundation and is free to use. We find it particularly well-suited for data scientists working with large datasets.
Is Apache SystemML legit?
Yes, Apache SystemML (now SystemDS) is a legitimate and safe open-source machine learning platform. It's backed by the Apache Software Foundation and is free to use. We find it particularly well-suited for data scientists working with large datasets.
Apache SystemML, also known as SystemDS, is an open-source platform. Therefore, it's free to use. We find it a powerful tool for those seeking a cost-effective machine learning solution.
How much does Apache SystemML cost?
Apache SystemML, also known as SystemDS, is an open-source platform. Therefore, it's free to use. We find it a powerful tool for those seeking a cost-effective machine learning solution.
There are no customer service reviews available for Apache SystemML at this time. Therefore, we can't offer insights into their customer service experience.
Is Apache SystemML customer service good?
There are no customer service reviews available for Apache SystemML at this time. Therefore, we can't offer insights into their customer service experience.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.