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

Spark Cloud Studio is a cloud-native platform that delivers high-performance computing remotely, replacing the need for powerful local machines with instant access to scalable virtual workstations, unlimited secure storage, and on-demand CPU/GPU power for rendering and compute tasks all from your browser or desktop app. Its core products include Spark ProStation™ cloud workstations with customizable hardware and pre-installed creative and technical tools, Spark ShareSync™ unlimited encrypted file storage with real-time sync and versioning across devices, Spark SmartCompute™ scalable render farm resources that spin up on demand for heavy workloads, and a full creative stack ready to launch without installs. It supports collaboration with real-time file sharing and team management, integrates with existing tools and pipelines, and offers low-latency global access on virtually any device.

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

Creative professionals and technical teams who need high-performance cloud workstations, scalable storage, and on-demand compute for rendering, simulation, video editing, AI development, and collaboration

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

$0.99 per hour
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

Spark Cloud Studio
Founded: 2023
United States
sparkcloud.studio/

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation

Alternatives

GarageFarm

GarageFarm

GarageFarm.NET
Apache Mahout

Apache Mahout

Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon

Categories

Categories

Integrations

Python
Adobe After Effects
Amazon EC2
Apple iOS
Autodesk Arnold
Chaos Corona
Cinema 4D
Enscape
Hadoop
Houdini
Java
KeyShot
LightWave 3D
Modo
NVIDIA NIM
Nuke
R
Revit
Vue.js
ftrack

Integrations

Python
Adobe After Effects
Amazon EC2
Apple iOS
Autodesk Arnold
Chaos Corona
Cinema 4D
Enscape
Hadoop
Houdini
Java
KeyShot
LightWave 3D
Modo
NVIDIA NIM
Nuke
R
Revit
Vue.js
ftrack
Claim MLlib and update features and information
Claim MLlib and update features and information
Claim Spark Cloud Studio and update features and information
Claim Spark Cloud Studio and update features and information