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

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

A Kudu cluster comprises tables that resemble those found in traditional relational (SQL) databases. These tables can range from a straightforward binary key and value structure to intricate designs featuring hundreds of strongly-typed attributes. Similar to SQL tables, each Kudu table is defined by a primary key, which consists of one or more columns; this could be a single unique user identifier or a composite key such as a (host, metric, timestamp) combination tailored for time-series data from machines. The primary key allows for quick reading, updating, or deletion of rows. The straightforward data model of Kudu facilitates the migration of legacy applications as well as the development of new ones, eliminating concerns about encoding data into binary formats or navigating through cumbersome JSON databases. Additionally, tables in Kudu are self-describing, enabling the use of standard analysis tools like SQL engines or Spark. With user-friendly APIs, Kudu ensures that developers can easily integrate and manipulate their data. This approach not only streamlines data management but also enhances overall efficiency in data processing tasks.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache Spark Yes 
Akira AI Yes 
Apache Knox Yes 
Apache Ranger Yes 
Apache Zeppelin Yes 
Azure HDInsight Yes 
BigBI No 
Data Sentinel Yes 
Hadoop No 
IRI DarkShield Yes 
JanusGraph Yes 
Lyftrondata Yes 
Mage Dynamic Data Masking Yes 
Mage Sensitive Data Discovery Yes 
OpenDQ Yes 
RazorSQL Yes 
Shapelets Yes 
Stackable Yes 
Toad Intelligence Central Yes 

Integrations

Apache Spark Yes 
Akira AI No 
Apache Knox No 
Apache Ranger No 
Apache Zeppelin No 
Azure HDInsight No 
BigBI Yes 
Data Sentinel No 
Hadoop Yes 
IRI DarkShield No 
JanusGraph No 
Lyftrondata No 
Mage Dynamic Data Masking No 
Mage Sensitive Data Discovery No 
OpenDQ No 
RazorSQL No 
Shapelets No 
Stackable No 
Toad Intelligence Central No 

Pricing Details

Free, Open Source Software
Free Trial No 
Free Version No 

Pricing Details

No price information available.
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 No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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 Yes 

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

The Apache Software Foundation

Founded

1999

Country

United States

Website

kudu.apache.org/overview.html

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 

Alternatives

Apache Cassandra Reviews

Apache Cassandra

Apache Software Foundation

Alternatives

Apache Parquet Reviews

Apache Parquet

The Apache Software Foundation
Apache Hudi Reviews

Apache Hudi

Apache Corporation
Apache Hive Reviews

Apache Hive

Apache Software Foundation
Apache HBase Reviews

Apache HBase

The Apache Software Foundation