DBMS > H2GIS vs. mSQL vs. ObjectBox vs. Sphinx vs. SWC-DB

System Properties Comparison H2GIS vs. mSQL vs. ObjectBox vs. Sphinx vs. SWC-DB

Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

mSQL (Mini SQL) is a simple and lightweight RDBMS

Extremely fast embedded database for small devices, IoT and Mobile

Open source search engine for searching in data from different sources, e.g. relational databases

A high performance, scalable Wide Column DBMS

Primary database model

Secondary database models

Relational DBMS

Time Series DBMS

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

Score	0.08
Rank	#368	Overall
	#7	Spatial DBMS

Score	1.27
Rank	#169	Overall
	#76	Relational DBMS

Score	1.29
Rank	#166	Overall
	#5	Object oriented DBMS

Score	5.95
Rank	#55	Overall
	#5	Search engines

Score	0.08
Rank	#364	Overall
	#13	Wide column stores

Website

www.h2gis.org

hughestech.com.au/products/msql

objectbox.io

sphinxsearch.com

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

Technical documentation

www.h2gis.org/docs/home

docs.objectbox.io

sphinxsearch.com/docs

Developer

CNRS

Hughes Technologies

ObjectBox Limited

Sphinx Technologies Inc.

Alex Kashirin

Initial release

2013

1994

2017

2001

2020

Current release

4.4, October 2021

3.5.1, February 2023

0.5, April 2021

License

Commercial or Open Source

Open Source

LGPL 3.0

commercial

free licenses can be provided

Open Source

Apache License 2.0

Open Source

GPL version 2, commercial licence available

Open Source

GPL V3

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

C and C++

C++

Server operating systems

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

Android
iOS
Linux
macOS
Windows

FreeBSD
Linux
NetBSD
OS X
Solaris
Windows

Linux

Data scheme

yes

schema-free

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

full-text index on all search fields

SQL

Support of SQL

yes

A subset of ANSI SQL is implemented

no subqueries, aggregate functions, views, foreign keys, triggers

SQL-like query language (SphinxQL)

SQL-like query language

APIs and other access methods

JDBC
ODBC

Proprietary native API

Proprietary protocol

Proprietary protocol
Thrift

Supported programming languages

Java

C
C++
Delphi
Java
Perl
PHP
Tcl

C
C++
Dart
Go
Java
JavaScript

planned (as of Jan 2019)
Kotlin
Python

planned (as of Jan 2019)
Swift

C++

unofficial client library
Java
Perl

unofficial client library
PHP
Python
Ruby

unofficial client library

C++

Server-side scripts

Stored procedures

yes

based on H2

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Partitioning is done manually, search queries against distributed index is supported

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

none

online/offline synchronization between client and server

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

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

The original contents of fields are not stored in the Sphinx index.

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

based on H2

yes

More information provided by the system vendor

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