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DBMS > Faircom EDGE vs. mSQL vs. Percona Server for MySQL vs. Sphinx vs. ToroDB

System Properties Comparison Faircom EDGE vs. mSQL vs. Percona Server for MySQL vs. Sphinx vs. ToroDB

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSphinx  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsmSQL (Mini SQL) is a simple and lightweight RDBMSEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Open source search engine for searching in data from different sources, e.g. relational databasesA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSSearch engineDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#380  Overall
#59  Key-value stores
#157  Relational DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score2.21
Rank#121  Overall
#58  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websitewww.faircom.com/­products/­faircom-edgehughestech.com.au/­products/­msqlwww.percona.com/­software/­mysql-database/­percona-serversphinxsearch.comgithub.com/­torodb/­server
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.percona.com/­downloads/­Percona-Server-LATESTsphinxsearch.com/­docs
DeveloperFairCom CorporationHughes TechnologiesPerconaSphinx Technologies Inc.8Kdata
Initial release19791994200820012016
Current releaseV3, October 20204.4, October 20218.0.36-28, 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercial infofree licenses can be providedOpen Source infoGPL version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++CC and C++C++Java
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
All OS with a Java 7 VM
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesnoyes infostring, integer, double, boolean, date, object_id
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnoyesno
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infoANSI SQL queriesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C++
Delphi
Java
Perl
PHP
Tcl
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++noyesno
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsnoneMulti-source replication
Source-replica replication
XtraDB Cluster
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
noneImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLnoyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.noUsers with fine-grained authorization concept infono user groups or rolesnoAccess rights for users and roles

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More resources
Faircom EDGE infoformerly c-treeEDGEmSQL infoMini SQLPercona Server for MySQLSphinxToroDB
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