DBMS > SiteWhere vs. SWC-DB vs. TigerGraph vs. Transbase

System Properties Comparison SiteWhere vs. SWC-DB vs. TigerGraph vs. Transbase

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Editorial information provided by DB-Engines

Name

Description

M2M integration platform for persisting/querying time series data

A high performance, scalable Wide Column DBMS

A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time

A resource-optimized, high-performance, universally applicable RDBMS

Primary database model

Secondary database models

Time Series DBMS

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

Score	0.06
Rank	#367	Overall
	#36	Time Series DBMS

Score	0.01
Rank	#387	Overall
	#13	Wide column stores

Score	1.83
Rank	#141	Overall
	#13	Graph DBMS

Score	0.15
Rank	#337	Overall
	#147	Relational DBMS

Website

github.com/sitewhere/sitewhere

github.com/kashirin-alex/swc-db
www.swcdb.org

www.tigergraph.com

www.transaction.de/en/products/transbase.html

Technical documentation

sitewhere1.sitewhere.io/index.html

docs.tigergraph.com

www.transaction.de/en/products/transbase/features.html

Developer

SiteWhere

Alex Kashirin

Transaction Software GmbH

Initial release

2010

2020

2017

1987

Current release

0.5, April 2021

Transbase 8.3, 2022

License

Commercial or Open Source

Open Source

Common Public Attribution License Version 1.0

Open Source

GPL V3

commercial

free development license

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

C and C++

Server operating systems

Linux
OS X
Windows

Linux

FreeBSD
Linux
macOS
Solaris
Windows

Data scheme

predefined 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

SQL-like query language

SQL-like query language (GSQL)

yes

APIs and other access methods

HTTP REST

Proprietary protocol
Thrift

GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

C++

C++
Java

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on HBase

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on HBase

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts

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

ACID

yes

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.

User concepts

Access control

Users with fine-grained authorization concept

Role-based access control

fine grained access rights according to SQL-standard

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