DBMS > SpatiaLite vs. STSdb vs. Transwarp KunDB

System Properties Comparison SpatiaLite vs. STSdb vs. Transwarp KunDB

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of SQLite

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle

Primary database model

Spatial DBMS

Key-value store

Relational DBMS

Secondary database models

Relational DBMS

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

Score	2.40
Rank	#135	Overall
	#3	Spatial DBMS

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

Score	0.14
Rank	#363	Overall
	#152	Relational DBMS

Website

www.gaia-gis.it/fossil/libspatialite/index

github.com/STSSoft/STSdb4

www.transwarp.cn/en/product/kundb

Technical documentation

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

Alessandro Furieri

STS Soft SC

Transwarp

Initial release

2008

2011

Current release

5.0.0, August 2020

4.0.8, September 2015

License

Commercial or Open Source

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

Open Source

GPLv2, commercial license available

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

server-less

Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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

.NET Client API

Supported programming languages

C#
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

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

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

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