DBMS > Apache HBase vs. Apache Phoenix vs. YottaDB

System Properties Comparison Apache HBase vs. Apache Phoenix vs. YottaDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Wide-column store based on Apache Hadoop and on concepts of BigTable

A scale-out RDBMS with evolutionary schema built on Apache HBase

A fast and solid embedded Key-value store

Primary database model

Wide column store

Relational DBMS

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	25.00
Rank	#26	Overall
	#2	Wide column stores

Score	1.90
Rank	#121	Overall
	#59	Relational DBMS

Score	0.23
Rank	#301	Overall
	#44	Key-value stores

Website

hbase.apache.org

phoenix.apache.org

yottadb.com

Technical documentation

hbase.apache.org/book.html

phoenix.apache.org

yottadb.com/resources/documentation

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Apache Software Foundation

YottaDB, LLC

Initial release

2008

2014

2001

Current release

2.3.4, January 2021

5.0-HBase2, July 2018 and 4.15-HBase1, December 2019

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

Apache Version 2.0

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

Linux
Unix
Windows

using Cygwin

Linux
Unix
Windows

Docker
Linux

Data scheme

schema-free, schema definition possible

yes

late-bound, schema-on-read capabilities

schema-free

Typing

predefined data types such as float or date

options to bring your own types, AVRO

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

yes

by using the Octo plugin

APIs and other access methods

Java API
RESTful HTTP API
Thrift

JDBC

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

C
C#
C++
Go
Groovy
Java
PHP
Python
Scala

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

yes

Coprocessors in Java

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Single row ACID (across millions of columns)

ACID

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancy

Users and groups based on OS-security mechanisms

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021, Krishna Maheshwari (sponsor)

show all

Recent citations in the news

Apache HBase online migration to Amazon EMR
23 October 2024, AWS Blog

How AppsFlyer modernized their interactive workload by moving to Amazon Athena and saved 80% of costs
8 August 2024, AWS Blog

HydraBase – The evolution of HBase@Facebook
5 June 2014, Facebook Engineering

Horizontal Scalability with HBase
26 November 2013, Ericsson

How to interact with HBase using HBase shell [Tutorial]
25 June 2018, packtpub.com

provided by Google News

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix
2 June 2016, AWS Blog

Hortonworks Starts Hadoop Summit with Data Platform Update
28 June 2016, ADT Magazine

Azure.Source – Volume 45
20 August 2018, azure.microsoft.com

Amazon EMR 4.7.0 – Apache Tez & Phoenix, Updates to Existing Apps
2 June 2016, AWS Blog

One of These 10 Badass Builds Will Get a Hot Wheels Mini-Me
15 November 2024, Hagerty Media

provided by Google News

Share this page