DBMS > Microsoft Azure Table Storage vs. openGauss vs. OushuDB vs. SAP HANA

System Properties Comparison Microsoft Azure Table Storage vs. openGauss vs. OushuDB vs. SAP HANA

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Editorial information provided by DB-Engines

Name

Description

A Wide Column Store for rapid development using massive semi-structured datasets

An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

In-memory, column based data store. Available as appliance or cloud service

Primary database model

Wide column store

Relational DBMS

Secondary database models

Document store
Spatial DBMS

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	3.55
Rank	#80	Overall
	#6	Wide column stores

Score	1.11
Rank	#175	Overall
	#79	Relational DBMS

Score	0.05
Rank	#357	Overall
	#151	Relational DBMS

Score	41.32
Rank	#23	Overall
	#16	Relational DBMS

Website

azure.microsoft.com/en-us/services/storage/tables

gitee.com/opengauss
opengauss.org

www.oushu.com/product/oushuDB

www.sap.com/products/hana.html

Technical documentation

docs.opengauss.org/en
gitee.com/opengauss/docs

www.oushu.com/documentation

help.sap.com/hana

Developer

Microsoft

Huawei and openGauss community

Oushu

SAP

Initial release

2012

2019

2010

Current release

3.0, March 2022

4.0.1, August 2020

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or Open Source

commercial

Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C, C++, Java

Server operating systems

hosted

Linux

Appliance or cloud-service

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

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

ANSI SQL 2011

Full-featured ANSI SQL support

yes

APIs and other access methods

RESTful HTTP API

JDBC
ODBC

Supported programming languages

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

C
C++
Java

C
C++

Server-side scripts

Stored procedures

yes

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

horizontal partitioning (by range, list and hash)

yes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.

Source-replica replication

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

Foreign keys

Referential integrity

yes

Transaction concepts

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

optimistic locking

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 rights based on private key authentication or shared access signatures

Access rights for users, groups and roles according to SQL-standard

Kerberos, SSL and role based access

yes

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