Apache HBase

Apache HBase

The Apache Software Foundation
MLlib

MLlib

Apache Software Foundation
+
+

Related Products

  • Couchbase
    417 Ratings
    Visit Website
  • Google Cloud BigQuery
    2,027 Ratings
    Visit Website
  • TIMi
    68 Ratings
    Visit Website
  • Dragonfly
    16 Ratings
    Visit Website
  • JS7 JobScheduler
    1 Rating
    Visit Website
  • KrakenD
    76 Ratings
    Visit Website
  • Capitalcore
    90 Ratings
    Visit Website
  • Docmosis
    51 Ratings
    Visit Website
  • T-Mobile for Business
    11 Ratings
    Visit Website
  • Google Cloud Platform
    61,066 Ratings
    Visit Website

About

Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Automatic failover support between RegionServers. Easy to use Java API for client access. Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data encoding options. Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX.

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 Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Application Developers looking for an advanced Columnar Databases solution

Audience

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

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free, Open Source Software
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Company Information

The Apache Software Foundation
Founded: 1999
United States
hbase.apache.org

Company Information

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

Alternatives

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
Apache Cassandra

Apache Cassandra

Apache Software Foundation
Apache Hive

Apache Hive

Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon

Categories

Categories

Machine Learning Supported

NoSQL Database Features

Auto-sharding Supported
Automatic Database Replication Not Supported
Data Model Flexibility Supported
Deployment Flexibility Supported
Dynamic Schemas Supported
Integrated Caching Supported
Multi-Model Not Supported
Performance Management Not Supported
Security Management Not Supported

Integrations

Apache Spark Supported
Akira AI Supported
Apache Bigtop Supported
Apache Hive Not Supported
Apache Knox Supported
Apache Ranger Supported
DigDash Supported
FF4J Supported
IRI DarkShield Supported
Kubernetes Not Supported
Lyftrondata Supported
MLlib Supported
Minitab Statistical Software Supported
OpenDQ Supported
R Not Supported
RazorSQL Supported
Scala Not Supported
Shapelets Supported
Stackable Supported
WINDEV Supported

Integrations

Apache Spark Supported
Akira AI Not Supported
Apache Bigtop Not Supported
Apache Hive Supported
Apache Knox Not Supported
Apache Ranger Not Supported
DigDash Not Supported
FF4J Not Supported
IRI DarkShield Not Supported
Kubernetes Supported
Lyftrondata Not Supported
MLlib Not Supported
Minitab Statistical Software Not Supported
OpenDQ Not Supported
R Supported
RazorSQL Not Supported
Scala Supported
Shapelets Not Supported
Stackable Not Supported
WINDEV Not Supported
Claim Apache HBase and update features and information
Claim Apache HBase and update features and information
Claim MLlib and update features and information
Claim MLlib and update features and information