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

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

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHeroic  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemEnterprise-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.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument storeSearch engine
Secondary database modelsDocument store
Spatial DBMS
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
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.4d.comwww.postgresql.fastware.comgithub.com/­spotify/­heroicwww.percona.com/­mongodb/­software/­percona-server-for-mongodbsolr.apache.org
Technical documentationdeveloper.4d.comwww.postgresql.fastware.com/­product-manualsspotify.github.io/­heroicdocs.percona.com/­percona-distribution-for-mongodbsolr.apache.org/­resources.html
Developer4D, IncPostgreSQL Global Development Group, Fujitsu Australia Software TechnologySpotifyPerconaApache Software Foundation
Initial release1984201420152006
Current releasev20, April 2023Fujitsu Enterprise Postgres 14, January 20223.4.10-2.10, November 20179.6.1, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPL Version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++Java
Server operating systemsOS X
Windows
Linux
Windows
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes infosupports customizable data types and automatic typing
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.yesnonoyes
Secondary indexesyesyesyes infovia Elasticsearchyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infoclose to SQL 92yesnonoSolr Parallel SQL Interface
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
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 JSONJava API
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
.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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesuser defined functionsnoJavaScriptJava plugins
Triggersyesyesnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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 Engineyes
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardAccess rights for users and rolesyes

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More resources
4D infoformer name: 4th DimensionFujitsu Enterprise PostgresHeroicPercona Server for MongoDBSolr
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