DBMS > openGemini vs. SiteWhere vs. STSdb

System Properties Comparison openGemini vs. SiteWhere vs. STSdb

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Editorial information provided by DB-Engines

Name

Description

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

M2M integration platform for persisting/querying time series data

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

Time Series DBMS

Key-value store

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

Score	0.16
Rank	#361	Overall
	#34	Time Series DBMS

Score	0.15
Rank	#362	Overall
	#35	Time Series DBMS

Score	0.35
Rank	#317	Overall
	#45	Key-value stores

Website

www.opengemini.org
github.com/openGemini

sitewhere.io

github.com/STSSoft/STSdb4

Technical documentation

docs.opengemini.org/guide

sitewhere.io/docs/2.1.0

Developer

Huawei and openGemini community

SiteWhere

STS Soft SC

Initial release

2022

2010

2011

Current release

1.1, July 2023

4.0.8, September 2015

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Common Public Attribution License Version 1.0

Open Source

GPLv2, commercial license available

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Java

Server operating systems

Linux
Windows

Linux
OS X
Windows

Windows

Data scheme

schema-free

predefined scheme

yes

Typing

predefined data types such as float or date

Integer, Float, Boolean, String

yes

primitive types and user defined types (classes)

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

APIs and other access methods

HTTP REST

.NET Client API

Supported programming languages

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

C#
Java

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on HBase

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor

based on HBase

none

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

Transaction concepts

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

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

Administrators and common users accounts

Users with fine-grained authorization concept

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