MLlib

MLlib

Apache Software Foundation
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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. ​

About

Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Data scientists looking for a machine learning solution to accelerate the creation and deployment of machine learning models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Oracle
Founded: 1977
United States
www.oracle.com/data-science/machine-learning/

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation

Alternatives

Kraken

Kraken

Big Squid
Apache Mahout

Apache Mahout

Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon

Categories

Categories

Integrations

Apache Hive
Apache Spark
Amazon EC2
Apache Cassandra
Apache HBase
Apache Mesos
Hadoop
Impala
Java
Kinetica
Kubernetes
MapReduce
MySQL
Oracle Cloud Infrastructure
Oracle Database
PwC Check-In
Python
R
Scala

Integrations

Apache Hive
Apache Spark
Amazon EC2
Apache Cassandra
Apache HBase
Apache Mesos
Hadoop
Impala
Java
Kinetica
Kubernetes
MapReduce
MySQL
Oracle Cloud Infrastructure
Oracle Database
PwC Check-In
Python
R
Scala
Claim MLlib and update features and information
Claim MLlib and update features and information
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