DBMS > Microsoft Azure AI Search vs. SAP HANA vs. SiteWhere vs. Transwarp ArgoDB

System Properties Comparison Microsoft Azure AI Search vs. SAP HANA vs. SiteWhere vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines

Name

Description

Search-as-a-service for web and mobile app development

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

M2M integration platform for persisting/querying time series data

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

Primary database model

Secondary database models

Vector DBMS

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

Search engine

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

Score	5.52
Rank	#59	Overall
	#6	Search engines

Score	44.27
Rank	#23	Overall
	#16	Relational DBMS

Score	0.06
Rank	#383	Overall
	#43	Time Series DBMS

Score	0.12
Rank	#348	Overall
	#151	Relational DBMS

Website

azure.microsoft.com/en-us/services/search

www.sap.com/products/hana.html

github.com/sitewhere/sitewhere

www.transwarp.cn/en/product/argodb

Technical documentation

learn.microsoft.com/en-us/azure/search

help.sap.com/hana

sitewhere1.sitewhere.io/index.html

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

Developer

Microsoft

SAP

SiteWhere

Transwarp

Initial release

2015

2010

Current release

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or Open Source

commercial

Open Source

Common Public Attribution License Version 1.0

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

Java

Server operating systems

hosted

Appliance or cloud-service

Linux
OS X
Windows

Data scheme

yes

predefined 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.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

RESTful HTTP API

JDBC
ODBC

HTTP REST

Supported programming languages

C#
Java
JavaScript
Python

Server-side scripts

Stored procedures

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

yes

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

yes

selectable replication factor

based on HBase

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

yes

using Azure authentication

yes

Users with fine-grained authorization concept

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