MLlib

MLlib

Apache Software Foundation
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About

IBM Analytics Engine provides an architecture for Hadoop clusters that decouples the compute and storage tiers. Instead of a permanent cluster formed of dual-purpose nodes, the Analytics Engine allows users to store data in an object storage layer such as IBM Cloud Object Storage and spins up clusters of computing notes when needed. Separating compute from storage helps to transform the flexibility, scalability and maintainability of big data analytics platforms. Build on an ODPi compliant stack with pioneering data science tools with the broader Apache Hadoop and Apache Spark ecosystem. Define clusters based on your application's requirements. Choose the appropriate software pack, version, and size of the cluster. Use as long as required and delete as soon as an application finishes jobs. Configure clusters with third-party analytics libraries and packages. Deploy workloads from IBM Cloud services like machine learning.

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. ​

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

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

Audience

Enterprises in need of an architecture for Hadoop clusters to decouples the compute and storage tiers

Audience

Data scientists and engineers wanting a machine learning solution for efficient data processing and analysis within the Apache Spark framework

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$0.014 per hour
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Company Information

IBM
Founded: 1911
United States
www.ibm.com/cloud/analytics-engine

Company Information

Apache Software Foundation
Founded: 1995
United States
spark.apache.org/mllib/

Alternatives

E-MapReduce

E-MapReduce

Alibaba

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
Hadoop

Hadoop

Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation
Apache Sentry

Apache Sentry

Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon
Azure HDInsight

Azure HDInsight

Microsoft

Categories

Data Discovery Supported
Data Visualization Supported

Categories

Machine Learning Supported

Integrations

Apache Spark Supported
Hadoop Supported
Acquia CDP Supported
Amazon EC2 Not Supported
Apache Cassandra Not Supported
Apache HBase Not Supported
Apache Hive Not Supported
Apache Mesos Not Supported
Galileo Supported
IBM Cloud Object Storage Supported
Java Not Supported
Kubernetes Not Supported
MINT Supported
MapReduce Not Supported
Python Not Supported
R Not Supported
RadiantOne Supported
Scala Not Supported
Switch Automation Supported
ZARUS Supported

Integrations

Apache Spark Supported
Hadoop Supported
Acquia CDP Not Supported
Amazon EC2 Supported
Apache Cassandra Supported
Apache HBase Supported
Apache Hive Supported
Apache Mesos Supported
Galileo Not Supported
IBM Cloud Object Storage Not Supported
Java Supported
Kubernetes Supported
MINT Not Supported
MapReduce Supported
Python Supported
R Supported
RadiantOne Not Supported
Scala Supported
Switch Automation Not Supported
ZARUS Not Supported
Claim IBM Analytics Engine and update features and information
Claim IBM Analytics Engine and update features and information
Claim MLlib and update features and information
Claim MLlib and update features and information