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DBMS > DataFS vs. Datomic vs. Geode vs. Percona Server for MongoDB

System Properties Comparison DataFS vs. Datomic vs. Geode vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonDatomic  Xexclude from comparisonGeode  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGeode 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 modelObject oriented DBMSRelational DBMSKey-value storeDocument store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.52
Rank#254  Overall
#39  Document stores
Websitenewdatabase.comwww.datomic.comgeode.apache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdev.mobiland.com/­Overview.xspdocs.datomic.comgeode.apache.org/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperMobiland AGCognitectOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Percona
Initial release2018201220022015
Current release1.1.263, October 20221.0.6735, June 20231.1, February 20173.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen 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 languageJava, ClojureJavaC++
Server operating systemsWindowsAll OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-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.nononono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnonoSQL-like query language (OQL)no
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIJava Client API
Memcached protocol
RESTful HTTP API
proprietary protocol using JSON
Supported programming languages.Net
C
C#
C++
VB.Net
Clojure
Java
.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 proceduresyes infoTransaction Functionsuser defined functionsJavaScript
Triggersno, except callback-events from server when changes happenedBy using transaction functionsyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-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 integrityyesnonono
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 persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesyes infovia In-Memory Engine
User concepts infoAccess controlWindows-ProfilenoAccess rights per client and object definableAccess rights for users and roles

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More resources
DataFSDatomicGeodePercona Server for MongoDB
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