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DBMS > 4D vs. Elasticsearch vs. Fujitsu Enterprise Postgres vs. IBM Cloudant vs. MongoDB

System Properties Comparison 4D vs. Elasticsearch vs. Fujitsu Enterprise Postgres vs. IBM Cloudant vs. MongoDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonElasticsearch  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Database as a Service offering based on Apache CouchDBOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSSearch engineRelational DBMSDocument storeDocument store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score421.08
Rank#5  Overall
#1  Document stores
Websitewww.4d.comwww.elastic.co/­elasticsearchwww.postgresql.fastware.comwww.ibm.com/­products/­cloudantwww.mongodb.com
Technical documentationdeveloper.4d.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.postgresql.fastware.com/­product-manualscloud.ibm.com/­docs/­Cloudantwww.mongodb.com/­docs/­manual
Developer4D, IncElasticPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MongoDB, Inc
Initial release1984201020102009
Current releasev20, April 20238.6, January 2023Fujitsu Enterprise Postgres 14, January 20226.0.7, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicensecommercialcommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenononoyesno infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
  • MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageJavaCErlangC++
Server operating systemsOS X
Windows
All OS with a Java VMLinux
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or dateyesyesyesnoyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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 indexesyesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like query languageyesnoRead-only SQL queries via the MongoDB Atlas SQL Interface
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Supported programming languages4D proprietary IDE
PHP
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript
Objective-C
PHP
Ruby
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresyesyesuser defined functionsView functions (Map-Reduce) in JavaScriptJavaScript
Triggersyesyes infoby using the 'percolation' featureyesyesyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesnoneShardingpartitioning by range, list and by hashShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replicationMulti-source replication
Source-replica replication
Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integrityyesnoyesnono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno infoatomic operations within a document possibleMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationnoyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseAccess rights for users and roles
More information provided by the system vendor
4D infoformer name: 4th DimensionElasticsearchFujitsu Enterprise PostgresIBM CloudantMongoDB
Specific characteristics100% compatible with community PostgreSQL
» more
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Built around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsCore based licensing
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
4D infoformer name: 4th DimensionElasticsearchFujitsu Enterprise PostgresIBM CloudantMongoDB
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