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Average Ratings 0 Ratings

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ease
features
design
support

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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

Effortlessly link your data to the engine by either uploading a file or establishing a connection to a database. Once connected, you can begin to explore your data through various visualizations, or you can prepare it for machine learning modeling using data wrangling techniques and reusable recipes. Maximize the potential of your data by constructing machine learning models with regression, classification, or clustering algorithms—all without requiring any coding skills. Discover valuable insights into your dataset through tools that highlight feature importance, explain predictions, and allow for scenario analysis. Additionally, you can make forecasts and easily integrate them into your current systems using our pre-configured connectors, enabling you to take immediate action based on your findings. This streamlined process empowers you to unlock the full value of your data and drive informed decision-making.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon EC2
Apache Cassandra
Apache HBase
Apache Spark
Google Sheets
Hadoop
InterSystems IRIS
JSON
Java
Kubernetes
Microsoft Excel
Microsoft Power BI
MongoDB
MySQL
Oracle Database
PostgreSQL
Python
R
Scala
Snowflake

Integrations

Amazon EC2
Apache Cassandra
Apache HBase
Apache Spark
Google Sheets
Hadoop
InterSystems IRIS
JSON
Java
Kubernetes
Microsoft Excel
Microsoft Power BI
MongoDB
MySQL
Oracle Database
PostgreSQL
Python
R
Scala
Snowflake

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$39 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Apache Software Foundation

Founded

1995

Country

United States

Website

spark.apache.org/mllib/

Vendor Details

Company Name

PI.EXCHANGE

Founded

2017

Country

Australia

Website

www.pi.exchange/the-ai-and-analytics-engine

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Product Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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