DBMS > Microsoft Azure SQL Database vs. SAP HANA vs. Transwarp ArgoDB

System Properties Comparison Microsoft Azure SQL Database vs. SAP HANA vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines

Name

Description

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

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

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

Primary database model

Relational DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

Search engine

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Trend Chart

Score	78.40
Rank	#15	Overall
	#10	Relational DBMS

Score	45.84
Rank	#22	Overall
	#16	Relational DBMS

Score	0.12
Rank	#343	Overall
	#151	Relational DBMS

Website

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

www.sap.com/products/hana.html

www.transwarp.cn/en/product/argodb

Technical documentation

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

help.sap.com/hana

docs.transwarp.cn/#/documents-support/docs?category=ARGODB

Developer

Microsoft

SAP

Transwarp

Initial release

2010

Current release

V12

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or 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

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Implementation language

C++

Server operating systems

hosted

Appliance or cloud-service

Data scheme

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
ODBC

JDBC
ODBC

Supported programming languages

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

Server-side scripts

Stored procedures

Transact SQL

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

Replication methods

Methods for redundantly storing data on multiple nodes

yes, with always 3 replicas available

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

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

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

fine grained access rights according to SQL-standard

yes

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