MLlib

MLlib

Apache Software Foundation
Marathon

Marathon

D2iQ
+
+

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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

Marathon is a production-grade container orchestration platform for Mesosphere’s Datacenter Operating System (DC/OS) and Apache Mesos. High Availability. Marathon runs as an active/passive cluster with leader election for 100% uptime. Multiple container runtimes. Marathon has first-class support for both Mesos containers (using cgroups) and Docker. Stateful apps. Marathon can bind persistent storage volumes to your application. You can run databases like MySQL and Postgres, and have storage accounted for by Mesos. Beautiful and powerful UI. Service Discovery & Load Balancing. Several methods available. Health Checks. Evaluate your application’s health using HTTP or TCP checks. Event Subscription. Supply an HTTP endpoint to receive notifications - for example to integrate with an external load balancer. Metrics. Query them at /metrics in JSON format, push them to systems like Graphite, StatsD and DataDog, or scrape them using Prometheus.

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

Anyone interested in a container orchestration platform for Mesos and DC/OS

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

D2iQ
Founded: 2013
United States
mesosphere.github.io/marathon/

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation

Alternatives

QF-Test

QF-Test

Quality First Software
Apache Mesos

Apache Mesos

Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation
MarathonITE

MarathonITE

Jalian Systems
Amazon EMR

Amazon EMR

Amazon
Marathon Registration Software

Marathon Registration Software

Satarchy Software Solutions

Categories

Categories

Integrations

Apache Mesos
Amazon EC2
Apache Cassandra
Apache HBase
Apache Hive
Apache Spark
D2iQ
Datadog
Docker
Graphite Studio
Hadoop
JBoss Portal
Java
Jetty
Kubernetes
MapReduce
Prometheus
Python
R
Scala

Integrations

Apache Mesos
Amazon EC2
Apache Cassandra
Apache HBase
Apache Hive
Apache Spark
D2iQ
Datadog
Docker
Graphite Studio
Hadoop
JBoss Portal
Java
Jetty
Kubernetes
MapReduce
Prometheus
Python
R
Scala
Claim MLlib and update features and information
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