DBMS > H2GIS vs. OushuDB vs. Realm vs. STSdb vs. Valentina Server

System Properties Comparison H2GIS vs. OushuDB vs. Realm vs. STSdb vs. Valentina Server

Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Object-relational database and reports server

Primary database model

Secondary database models

Relational DBMS

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

Score	0.00
Rank	#385	Overall
	#7	Spatial DBMS

Score	0.05
Rank	#357	Overall
	#151	Relational DBMS

Score	7.18
Rank	#52	Overall
	#8	Document stores

Score	0.03
Rank	#365	Overall
	#54	Key-value stores

Score	0.18
Rank	#313	Overall
	#140	Relational DBMS

Website

www.h2gis.org

www.oushu.com/product/oushuDB

realm.io

github.com/STSSoft/STSdb4

www.valentina-db.net

Technical documentation

www.h2gis.org/docs/home

www.oushu.com/documentation

realm.io/docs

valentina-db.com/docs/dokuwiki/v5/doku.php

Developer

CNRS

Oushu

Realm, acquired by MongoDB in May 2019

STS Soft SC

Paradigma Software

Initial release

2013

2014

2011

1999

Current release

4.0.1, August 2020

4.0.8, September 2015

5.7.5

License

Commercial or Open Source

Open Source

LGPL 3.0

commercial

Open Source

GPLv2, commercial license available

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

Linux

Android
Backend: server-less
iOS
Windows

Windows

Linux
OS X
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

Full-featured ANSI SQL support

yes

APIs and other access methods

JDBC
ODBC

.NET Client API

ODBC

Supported programming languages

Java

C
C++

.Net
Java

with Android only
Objective-C
React Native
Swift

C#
Java

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Server-side scripts

Stored procedures

yes

based on H2

yes

runs within the applications so server-side scripts are unnecessary

yes

Triggers

yes

Change Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

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, multi-version concurrency control (MVCC)

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

In-Memory realm

yes

User concepts

Access control

yes

based on H2

Kerberos, SSL and role based access

yes

fine grained access rights according to SQL-standard

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