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DBMS > Cubrid vs. Faircom EDGE vs. Geode vs. Microsoft Azure AI Search

System Properties Comparison Cubrid vs. Faircom EDGE vs. Geode vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGeode  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesSearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Websitecubrid.com (korean)
cubrid.org (english)
www.faircom.com/­products/­faircom-edgegeode.apache.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationcubrid.org/­manualsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlgeode.apache.org/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperCUBRID Corporation, CUBRID FoundationFairCom CorporationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Microsoft
Initial release2008197920022015
Current release11.0, January 2021V3, October 20201.1, February 2017V1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoRestricted, free version availableOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaANSI C, C++Java
Server operating systemsLinux
Windows
Android
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredhosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
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.noyesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyes infoANSI SQL queriesSQL-like query language (OQL)no
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresJava Stored Proceduresyes info.Net, JavaScript, C/C++user defined functionsno
Triggersyesyesyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeno
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.noyesyesno
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.Access rights per client and object definableyes infousing Azure authentication

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More resources
CubridFaircom EDGE infoformerly c-treeEDGEGeodeMicrosoft Azure AI Search
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