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features
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support

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Description

Utilize Apache HBase™ when you require immediate and random read/write capabilities for your extensive data sets. This initiative aims to manage exceptionally large tables that can contain billions of rows across millions of columns on clusters built from standard hardware. It features automatic failover capabilities between RegionServers to ensure reliability. Additionally, it provides an intuitive Java API for client interaction, along with a Thrift gateway and a RESTful Web service that accommodates various data encoding formats, including XML, Protobuf, and binary. Furthermore, it supports the export of metrics through the Hadoop metrics system, enabling data to be sent to files or Ganglia, as well as via JMX for enhanced monitoring and management. With these features, HBase stands out as a robust solution for handling big data challenges effectively.

Description

The Apache Hadoop software library serves as a framework for the distributed processing of extensive data sets across computer clusters, utilizing straightforward programming models. It is built to scale from individual servers to thousands of machines, each providing local computation and storage capabilities. Instead of depending on hardware for high availability, the library is engineered to identify and manage failures within the application layer, ensuring that a highly available service can run on a cluster of machines that may be susceptible to disruptions. Numerous companies and organizations leverage Hadoop for both research initiatives and production environments. Users are invited to join the Hadoop PoweredBy wiki page to showcase their usage. The latest version, Apache Hadoop 3.3.4, introduces several notable improvements compared to the earlier major release, hadoop-3.2, enhancing its overall performance and functionality. This continuous evolution of Hadoop reflects the growing need for efficient data processing solutions in today's data-driven landscape.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Akira AI Yes 
Amazon EMR Yes 
Apache Bigtop Yes 
Apache Knox Yes 
Apache Phoenix Yes 
Apache Ranger Yes 
Apache Spark Yes 
Apache Zeppelin Yes 
Azure HDInsight Yes 
DigDash Yes 
MLlib Yes 
Mage Dynamic Data Masking Yes 
Mage Platform Yes 
Mage Sensitive Data Discovery Yes 
Mage Static Data Masking Yes 
Salesforce Data 360 Yes 
WEBDEV Yes 
Yandex Data Proc Yes 
CYRES No 

Integrations

Akira AI Yes 
Amazon EMR Yes 
Apache Bigtop Yes 
Apache Knox Yes 
Apache Phoenix Yes 
Apache Ranger Yes 
Apache Spark Yes 
Apache Zeppelin Yes 
Azure HDInsight Yes 
DigDash Yes 
MLlib Yes 
Mage Dynamic Data Masking Yes 
Mage Platform Yes 
Mage Sensitive Data Discovery Yes 
Mage Static Data Masking Yes 
Salesforce Data 360 Yes 
WEBDEV Yes 
Yandex Data Proc Yes 
CYRES Yes 

Pricing Details

Free, Open Source Software
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

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 No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

hbase.apache.org

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

hadoop.apache.org

Product Features

NoSQL Database

Auto-sharding Yes 
Automatic Database Replication No 
Data Model Flexibility Yes 
Deployment Flexibility Yes 
Dynamic Schemas Yes 
Integrated Caching Yes 
Multi-Model No 
Performance Management No 
Security Management No 

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

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