MLlib

MLlib

Apache Software Foundation
+
+

Related Products

  • Google Cloud BigQuery
    1,934 Ratings
    Visit Website
  • Vertex AI
    783 Ratings
    Visit Website
  • Teradata VantageCloud
    992 Ratings
    Visit Website
  • Google Cloud Platform
    60,448 Ratings
    Visit Website
  • SenseIP
    1 Rating
    Visit Website
  • Convesio
    53 Ratings
    Visit Website
  • Google Cloud Run
    317 Ratings
    Visit Website
  • Kasm Workspaces
    125 Ratings
    Visit Website
  • MindCloud
    20 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website

About

IBM Analytics for Apache Spark is a flexible and integrated Spark service that empowers data science professionals to ask bigger, tougher questions, and deliver business value faster. It’s an easy-to-use, always-on managed service with no long-term commitment or risk, so you can begin exploring right away. Access the power of Apache Spark with no lock-in, backed by IBM’s open-source commitment and decades of enterprise experience. A managed Spark service with Notebooks as a connector means coding and analytics are easier and faster, so you can spend more of your time on delivery and innovation. A managed Apache Spark services gives you easy access to the power of built-in machine learning libraries without the headaches, time and risk associated with managing a Sparkcluster independently.

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Flexible and integrated Spark service that empowers data science professionals to ask bigger, tougher questions, and deliver business value

Audience

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

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

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

Review this Software

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

IBM
Founded: 1911
United States
www.ibm.com/analytics/ca/en/technology/cloud-data-services/spark-as-a-service/

Company Information

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

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon
Apache Mahout

Apache Mahout

Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon
E-MapReduce

E-MapReduce

Alibaba

Categories

Categories

Integrations

Apache Spark
Amazon EC2
Apache Cassandra
Apache HBase
Apache Hive
Apache Mesos
Hadoop
Java
Kubernetes
MapReduce
Python
R
RadiantOne
Scala
Switch Automation

Integrations

Apache Spark
Amazon EC2
Apache Cassandra
Apache HBase
Apache Hive
Apache Mesos
Hadoop
Java
Kubernetes
MapReduce
Python
R
RadiantOne
Scala
Switch Automation
Claim IBM Analytics for Apache Spark and update features and information
Claim IBM Analytics for Apache Spark and update features and information
Claim MLlib and update features and information
Claim MLlib and update features and information