Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

MLlib, the machine learning library of Apache Spark, is designed to be highly scalable and integrates effortlessly with Spark's various APIs, accommodating programming languages such as Java, Scala, Python, and R. It provides an extensive range of algorithms and utilities, which encompass classification, regression, clustering, collaborative filtering, and the capabilities to build machine learning pipelines. By harnessing Spark's iterative computation features, MLlib achieves performance improvements that can be as much as 100 times faster than conventional MapReduce methods. Furthermore, it is built to function in a variety of environments, whether on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or within cloud infrastructures, while also being able to access multiple data sources, including HDFS, HBase, and local files. This versatility not only enhances its usability but also establishes MLlib as a powerful tool for executing scalable and efficient machine learning operations in the Apache Spark framework. The combination of speed, flexibility, and a rich set of features renders MLlib an essential resource for data scientists and engineers alike.

Description

Spark Cloud Studio is a cutting-edge cloud-based platform that provides efficient remote computing solutions, eliminating the necessity for powerful local hardware by offering immediate access to scalable virtual workstations, extensive secure storage, and on-demand CPU/GPU capabilities for rendering and computational tasks directly through your web browser or desktop application. Among its primary offerings are the Spark ProStation™ cloud workstations, which feature customizable hardware and come pre-equipped with essential creative and technical applications, Spark ShareSync™ for limitless encrypted file storage that includes real-time synchronization and versioning across multiple devices, and Spark SmartCompute™ that allows for scalable rendering farm resources to activate as needed for demanding workloads, along with a comprehensive creative toolkit ready for immediate use without any installation processes. The platform fosters collaboration by enabling real-time file sharing and efficient team management, seamlessly integrates with existing workflows and tools, and provides low-latency global access across a wide array of devices to ensure productivity is never hindered. Additionally, its user-friendly interface and robust features make it an ideal solution for creative professionals seeking flexibility and power in their projects.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Python Yes 
Amazon EC2 Yes 
Apache Cassandra Yes 
Apache Spark Yes 
Apple iOS No 
Clarisse iFX No 
FFmpeg No 
Katana No 
Kubernetes Yes 
LightWave 3D No 
MapReduce Yes 
Mocha Pro No 
Modo No 
NVIDIA NIM No 
Nuke No 
OctaneRender No 
R Yes 
Revit No 
Scala Yes 
ftrack No 

Integrations

Python Yes 
Amazon EC2 No 
Apache Cassandra No 
Apache Spark No 
Apple iOS Yes 
Clarisse iFX Yes 
FFmpeg Yes 
Katana Yes 
Kubernetes No 
LightWave 3D Yes 
MapReduce No 
Mocha Pro Yes 
Modo Yes 
NVIDIA NIM Yes 
Nuke Yes 
OctaneRender Yes 
R No 
Revit Yes 
Scala No 
ftrack Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.99 per hour
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Apache Software Foundation

Founded

1995

Country

United States

Website

spark.apache.org/mllib/

Vendor Details

Company Name

Spark Cloud Studio

Founded

2023

Country

United States

Website

sparkcloud.studio/

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Alternatives

Alternatives

Apache Spark Reviews

Apache Spark

Apache Software Foundation
GarageFarm Reviews

GarageFarm

GarageFarm.NET
Amazon EMR Reviews

Amazon EMR

Amazon
Apache Mahout Reviews

Apache Mahout

Apache Software Foundation