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DBMS > 4D vs. FatDB vs. Fujitsu Enterprise Postgres vs. Heroic vs. Percona Server for MongoDB

System Properties Comparison 4D vs. FatDB vs. Fujitsu Enterprise Postgres vs. Heroic vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonFatDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHeroic  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionApplication development environment with integrated database management systemA .NET NoSQL DBMS that can integrate with and extend SQL Server.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSTime Series DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitewww.4d.comwww.postgresql.fastware.comgithub.com/­spotify/­heroicwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdeveloper.4d.comwww.postgresql.fastware.com/­product-manualsspotify.github.io/­heroicdocs.percona.com/­percona-distribution-for-mongodb
Developer4D, IncFatCloudPostgreSQL Global Development Group, Fujitsu Australia Software TechnologySpotifyPercona
Initial release1984201220142015
Current releasev20, April 2023Fujitsu Enterprise Postgres 14, January 20223.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#CJavaC++
Server operating systemsOS X
Windows
WindowsLinux
Windows
Linux
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnono
Secondary indexesyesyesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLyes infoclose to SQL 92no infoVia inetgration in SQL Serveryesnono
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HQL (Heroic Query Language, a JSON-based language)
HTTP API
proprietary protocol using JSON
Supported programming languages4D proprietary IDE
PHP
C#.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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 proceduresyesyes infovia applicationsuser defined functionsnoJavaScript
Triggersyesyes infovia applicationsyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingpartitioning by range, list and by hashShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factorSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infovia In-Memory Engine
User concepts infoAccess controlUsers and groupsno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
4D infoformer name: 4th DimensionFatDBFujitsu Enterprise PostgresHeroicPercona Server for MongoDB
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