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DBMS > Brytlyt vs. Cubrid vs. Geode vs. Percona Server for MongoDB

System Properties Comparison Brytlyt vs. Cubrid vs. Geode vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonCubrid  Xexclude from comparisonGeode  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score1.51
Rank#147  Overall
#25  Key-value stores
Score0.50
Rank#250  Overall
#39  Document stores
Websitebrytlyt.iocubrid.com (korean)
cubrid.org (english)
geode.apache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.brytlyt.iocubrid.org/­manualsgeode.apache.org/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperBrytlytCUBRID Corporation, CUBRID FoundationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Percona
Initial release2016200820022015
Current release5.0, August 202311.0, January 20211.1, February 20173.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC, C++, JavaJavaC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 functionality.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyesSQL-like query language (OQL)no
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
OLE DB
Java Client API
Memcached protocol
RESTful HTTP API
proprietary protocol using JSON
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLJava Stored Proceduresuser defined functionsJavaScript
Triggersyesyesyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes infovia In-Memory Engine
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights per client and object definableAccess rights for users and roles

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More resources
BrytlytCubridGeodePercona Server for MongoDB
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