MLlibApache Software Foundation
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RoyalCyber eCatalystRoyalCyber
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Related Products
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About
Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce implementations. It is designed to operate across diverse environments, running on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or in the cloud, and accessing various data sources such as HDFS, HBase, and local files. This flexibility makes MLlib a robust solution for scalable and efficient machine learning tasks within the Apache Spark ecosystem.
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About
Ecatalyst is a proprietary product which can be integrated with ecommerce software’s like Hybris, Magento etc., and uses events generated by the sites to provide predictions such as personalized predictions, Similar Product predictions, Complementary predictions, Contextual predictions to the users. A proprietary decision making engine that provides predictions and suggestions about the products based on the event traffic of the products in a website. Uses advanced statistical and machine learning techniques for predictions and suggestions. It’s built on top of Big Data architecture and uses HBase and Apache Spark. Highly customizable and provides Intelligent and personalized recommendations to the customers. Captures all the events in real time and provides contextual recommendations to the user. Built on top of Big Data architecture providing great scalability without compromising performance.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Data scientists and engineers wanting a machine learning solution for efficient data processing and analysis within the Apache Spark framework
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Audience
Companies and brands seeking an eCommerce personalization solution to get personalized product predictions
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Company InformationApache Software Foundation
Founded: 1995
United States
spark.apache.org/mllib/
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Company InformationRoyalCyber
Founded: 2002
United States
www.royalcyber.com/products/ecatalyst
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Alternatives |
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Categories |
Categories |
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Integrations
Amazon EC2
Supported
Apache Cassandra
Supported
Apache Hive
Supported
Apache Mesos
Supported
Apache Spark
Supported
Apigee
Not Supported
Google Cloud Platform
Not Supported
HCL Commerce
Not Supported
Hadoop
Supported
Java
Supported
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Integrations
Amazon EC2
Not Supported
Apache Cassandra
Not Supported
Apache Hive
Not Supported
Apache Mesos
Not Supported
Apache Spark
Not Supported
Apigee
Supported
Google Cloud Platform
Supported
HCL Commerce
Supported
Hadoop
Not Supported
Java
Not Supported
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