DBMS > Apache Phoenix vs. Microsoft Azure SQL Database vs. openGemini

System Properties Comparison Apache Phoenix vs. Microsoft Azure SQL Database vs. openGemini

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Editorial information provided by DB-Engines

Name

Description

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

Database as a Service offering with high compatibility to Microsoft SQL Server

An open source distributed Time Series DBMS with high concurrency, high performance, and high scalability

Primary database model

Relational DBMS

Time Series DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS

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

Score	1.93
Rank	#120	Overall
	#59	Relational DBMS

Score	74.53
Rank	#16	Overall
	#11	Relational DBMS

Score	0.00
Rank	#388	Overall
	#40	Time Series DBMS

Website

phoenix.apache.org

azure.microsoft.com/en-us/products/azure-sql/database

www.opengemini.org
github.com/openGemini

Technical documentation

phoenix.apache.org

docs.microsoft.com/en-us/azure/azure-sql

docs.opengemini.org/guide

Developer

Apache Software Foundation

Microsoft

Huawei and openGemini community

Initial release

2014

2010

2022

Current release

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

V12

1.1, July 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

C++

Server operating systems

Linux
Unix
Windows

hosted

Linux
Windows

Data scheme

yes

late-bound, schema-on-read capabilities

yes

schema-free

Typing

predefined data types such as float or date

yes

Integer, Float, Boolean, String

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

JDBC

ADO.NET
JDBC
ODBC

HTTP REST

Supported programming languages

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

.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby

C
C++
Go
Java
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

user defined functions

Transact SQL

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, with always 3 replicas available

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

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

fine grained access rights according to SQL-standard

Administrators and common users accounts

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Recent citations in the news

Bridge the SQL-NoSQL gap with Apache Phoenix
9 July 2024, InfoWorld

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

HBase With Apache Phoenix - A Beginner's Guide to Architecting Big Data Applications [Video]
22 October 2022, O'Reilly Media

Deep dive into Azure HDInsight 4.0
25 September 2018, Microsoft

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

provided by Google News

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21 May 2024, Microsoft

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12 September 2024, Microsoft

Copilot in Azure SQL Database in Private Preview
27 March 2024, InfoQ.com

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Open Source @ Huawei
9 February 2022, Huawei

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