DBMS > Faircom EDGE vs. mSQL vs. OrigoDB vs. SAP SQL Anywhere vs. SpatiaLite

System Properties Comparison Faircom EDGE vs. mSQL vs. OrigoDB vs. SAP SQL Anywhere vs. SpatiaLite

Editorial information provided by DB-Engines
Name	Faircom EDGE formerly c-treeEDGE  Xexclude from comparison	mSQL Mini SQL  Xexclude from comparison	OrigoDB  Xexclude from comparison	SAP SQL Anywhere formerly called Adaptive Server Anywhere  Xexclude from comparison	SpatiaLite  Xexclude from comparison
Description	FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments	mSQL (Mini SQL) is a simple and lightweight RDBMS	A fully ACID in-memory object graph database	RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments	Spatial extension of SQLite
Primary database model	Key-value store Relational DBMS	Relational DBMS	Document store Object oriented DBMS	Relational DBMS	Spatial DBMS
Secondary database models					Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.05 Rank #334   Overall #50   Key-value stores #149   Relational DBMS	Score 1.68 Rank #134   Overall #66   Relational DBMS	Score 0.00 Rank #356   Overall #47   Document stores #19   Object oriented DBMS	Score 5.62 Rank #72   Overall #40   Relational DBMS	Score 1.94 Rank #126   Overall #2   Spatial DBMS
Website	www.faircom.com/­products/­faircomedge-iot-database	hughestech.com.au/­products/­msql	origodb.com	www.sap.com/­products/­sql-anywhere.html	www.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentation	learn.faircomcorp.com/­developers/­documentation_directory		origodb.com/­docs	help.sap.com/­sql-anywhere	www.gaia-gis.it/­gaia-sins/­spatialite_topics.html
Developer	FairCom Corporation	Hughes Technologies	Robert Friberg et al	SAP formerly Sybase	Alessandro Furieri
Initial release	1979	1994	2009 under the name LiveDB	1992	2008
Current release	V3, October 2020	4.4, October 2021		17, July 2015	5.0.0, August 2020
License Commercial or Open Source	commercial Restricted, free version available	commercial free licenses can be provided	Open Source	commercial	Open Source MPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only Only available as a cloud service	no	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	ANSI C, C++	C	C#		C++
Server operating systems	Android Linux ARM, x86 Raspbian Windows	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows	Linux Windows	AIX HP-UX Linux OS X Solaris Windows	server-less
Data scheme	Flexible Schema (defined schema, partial schema, schema free)	yes	yes	yes	yes
Typing predefined data types such as float or date	yes, ANSI Standard SQL Types	yes	User defined using .NET types and collections	yes	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.	yes	no	no can be achieved using .NET	yes	no
Secondary indexes	yes	yes	yes	yes	yes
SQL Support of SQL	yes ANSI SQL queries	A subset of ANSI SQL is implemented no subqueries, aggregate functions, views, foreign keys, triggers	no	yes	yes
APIs and other access methods	ADO.NET Direct SQL IoT Microservice layer JDBC MQTT (Message Queue Telemetry Transport) ODBC RESTful HTTP API	JDBC ODBC	.NET Client API HTTP API LINQ	ADO.NET HTTP API JDBC ODBC
Supported programming languages	C C# C++ Java JavaScript PHP Python VB.Net	C C++ Delphi Java Perl PHP Tcl	.Net	C C# C++ Delphi Java JavaScript (Node.js) Perl PHP Python Ruby
Server-side scripts Stored procedures	yes .Net, JavaScript, C/C++	no	yes	yes, in C/C++, Java, .Net or Perl	no
Triggers	yes	no	yes Domain Events	yes	yes
Partitioning methods Methods for storing different data on different nodes	File partitioning Customizable business rules for partitioning	none	horizontal partitioning client side managed; servers are not synchronized	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes Synchronous and asynchronous realtime replication based on transaction logs	none	Source-replica replication	Source-replica replication Database mirroring	none
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency Tunable Consistency	none		Immediate Consistency
Foreign keys Referential integrity	yes when using SQL	no	depending on model	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	ACID	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes across SQL and NoSQL	no	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes Write ahead log	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	yes	yes	yes
User concepts Access control	Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.	no	Role based authorization	fine grained access rights according to SQL-standard	no
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More resources
	Faircom EDGE formerly c-treeEDGE	mSQL Mini SQL	OrigoDB	SAP SQL Anywhere formerly called Adaptive Server Anywhere	SpatiaLite
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