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DBMS > EnterpriseDB vs. FileMaker vs. GridDB vs. MongoDB vs. Stardog

System Properties Comparison EnterpriseDB vs. FileMaker vs. GridDB vs. MongoDB vs. Stardog

Editorial information provided by DB-Engines
NameEnterpriseDB  Xexclude from comparisonFileMaker  Xexclude from comparisonGridDB  Xexclude from comparisonMongoDB  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options, complemented by tool kits for management, integration, and migration.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Scalable in-memory time series database optimized for IoT and Big DataOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoning
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument storeGraph DBMS
RDF store
Secondary database modelsDocument storeKey-value store
Relational DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.38
Rank#105  Overall
#51  Relational DBMS
Score54.88
Rank#19  Overall
#12  Relational DBMS
Score0.48
Rank#209  Overall
#11  Time Series DBMS
Score433.33
Rank#5  Overall
#1  Document stores
Score0.91
Rank#162  Overall
#12  Graph DBMS
#6  RDF stores
Websitewww.enterprisedb.comwww.filemaker.comgriddb.netwww.mongodb.comwww.stardog.com
Technical documentationwww.enterprisedb.com/­edb-docswww.filemaker.com/­support/­product/­documentation.htmlgriddb.net/­en/­docs/­documents/­1-1_what-is-griddb.phpdocs.mongodb.com/­manualwww.stardog.com/­docs
DeveloperEnterpriseDBFileMaker infoa subsidiary of AppleToshiba CorporationMongoDB, IncStardog-Union
Initial release20051983201320092010
Current releaseV10, November 201718, May 20194.2, June 20194.2.2, December 20196.2.3, July 2019
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen 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 servicenononono 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 Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageCC++C++Java
Server operating systemsLinux
Windows
iOS
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesyesschema-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 infonumerical, string, blob, geometry, boolean, timestampyes 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 infospecific XML-type available, but no XML query functionality.yes infoA http query request can return the data in XML formatnono infoImport/export of XML data possible
Secondary indexesyesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infostandard with numerous extensionsyes infovia pluginsSQL92 (advanced edition only), SQL-like TQL (Toshiba Query Language)Read-only SQL queries via the MongoDB Connector for BISPARQL is used as query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
Proprietary protocolproprietary protocol using JSONGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
PHPC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesnoJavaScriptuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyesyesyes infoin MongoDB Atlas onlyyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangenoneShardingSharding infopartitioned by hashed, ranged, or zoned sharding keysnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-slave replication, warm standby infosince Version 14Master-slave replicationMaster-slave replicationMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesyesnono infotypically not used, however similar functionality with DBRef possibleyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at container levelMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesAccess rights for users can be defined per databaseAccess rights for users and rolesAccess rights for users and roles
More information provided by the system vendor
EnterpriseDBFileMakerGridDBMongoDBStardog
Specific characteristicsPostgreSQL with added Security, Performance, DBA, Developer, and Oracle compatibile...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Stardog is a knowledge graph platform backed by a performant, scalable graph database....
» more
Competitive advantagesComplete Postgres platform with enterprise-class Postgres, Management, Integration,...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
The MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Stardog is uniquely designed to aid in data integration for your complex data. Benefits...
» more
Typical application scenariosNew applications for transactional, reporting and mixed workloads that need to integrate...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersMasterCard, Hewlett Packard Enterprise, Ericsson, AT&T, Alibaba, Korea Telecom and...
» more
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsListed in Gartner Magic Quadrant 2013-2018 with over 4,000 customers.
» more
GitHub trending repository
» more
70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsOpen Source and Commercial core based licensing.
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EnterpriseDBFileMakerGridDBMongoDBStardog
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