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DBMS > Citus vs. Faircom EDGE vs. Galaxybase vs. InterSystems Caché

System Properties Comparison Citus vs. Faircom EDGE vs. Galaxybase vs. InterSystems Caché

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGalaxybase  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsScalable, ACID-compliant native distributed parallel graph platformA multi-model DBMS and application server
Primary database modelRelational DBMSKey-value store
Relational DBMS
Graph DBMSKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score0.02
Rank#370  Overall
#55  Key-value stores
#157  Relational DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
Websitewww.citusdata.comwww.faircom.com/­products/­faircom-edgegalaxybase.comwww.intersystems.com/­products/­cache
Technical documentationdocs.citusdata.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.intersystems.com
DeveloperFairCom CorporationChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司InterSystems
Initial release2010197920171997
Current release8.1, December 2018V3, October 2020Nov 20, November 20212018.1.4, May 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial infoRestricted, free version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCANSI C, C++C and Java
Server operating systemsLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
LinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)Strong typed schemadepending on used data model
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyes
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.yes infospecific XML type available, but no XML query functionalityyesnoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsyes infoANSI SQL queriesnoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Go
Java
Python
C#
C++
Java
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes info.Net, JavaScript, C/C++user defined procedures and functionsyes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Role-based access controlAccess rights for users, groups and roles

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More resources
CitusFaircom EDGE infoformerly c-treeEDGEGalaxybaseInterSystems Caché
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