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DBMS > FileMaker vs. Fujitsu Enterprise Postgres vs. MongoDB vs. Stardog

System Properties Comparison FileMaker vs. Fujitsu Enterprise Postgres vs. MongoDB vs. Stardog

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonMongoDB  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSRelational DBMSDocument storeGraph DBMS
RDF store
Secondary database modelsDocument 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
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score410.24
Rank#5  Overall
#1  Document stores
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Websitewww.claris.com/­filemakerwww.postgresql.fastware.comwww.mongodb.comwww.stardog.com
Technical documentationwww.claris.com/­resources/­documentationwww.postgresql.fastware.com/­product-manualswww.mongodb.com/­docs/­manualdocs.stardog.com
DeveloperClaris infoa subsidiary of ApplePostgreSQL Global Development Group, Fujitsu Australia Software TechnologyMongoDB, IncStardog-Union
Initial release198320092010
Current release19.4.1, November 2021Fujitsu Enterprise Postgres 14, January 20227.0.5, January 20247.3.0, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)no
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.
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Implementation languageCC++Java
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesschema-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.schema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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 infoA http query request can return the data in XML formatno infoImport/export of XML data possible
Secondary indexesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infovia pluginsyesRead-only SQL queries via the MongoDB Atlas SQL InterfaceYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesPHP.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsJavaScriptuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyesyes infoin MongoDB Atlas onlyyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Source-replica replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Multi-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesyesno infotypically not used, however similar functionality with DBRef possibleyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users and roles
More information provided by the system vendor
FileMakerFujitsu Enterprise PostgresMongoDBStardog
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
FileMakerFujitsu Enterprise PostgresMongoDBStardog
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