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

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

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGridDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonMongoDB  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Scalable in-memory time series database optimized for IoT and Big DataOperational and transactional Enterprise NoSQL databaseOne 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 DBMSTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document storeGraph DBMS
RDF store
Secondary database modelsKey-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
Score54.88
Rank#19  Overall
#12  Relational DBMS
Score0.48
Rank#209  Overall
#11  Time Series DBMS
Score12.25
Rank#39  Overall
#7  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Score433.33
Rank#5  Overall
#1  Document stores
Score0.91
Rank#162  Overall
#12  Graph DBMS
#6  RDF stores
Websitewww.filemaker.comgriddb.netwww.marklogic.comwww.mongodb.comwww.stardog.com
Technical documentationwww.filemaker.com/­support/­product/­documentation.htmlgriddb.net/­en/­docs/­documents/­1-1_what-is-griddb.phpdocs.marklogic.comdocs.mongodb.com/­manualwww.stardog.com/­docs
DeveloperFileMaker infoa subsidiary of AppleToshiba CorporationMarkLogic Corp.MongoDB, IncStardog-Union
Initial release19832013200120092010
Current release18, May 20194.2, June 20199.0, 20174.2.2, December 20196.2.3, July 2019
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial inforestricted free version is 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 languageC++C++C++Java
Server operating systemsiOS
OS X
Windows
LinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesschema-free infoSchema can be enforcedschema-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 dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes 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 formatnoyesno infoImport/export of XML data possible
Secondary indexesyesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infovia pluginsSQL92 (advanced edition only), SQL-like TQL (Toshiba Query Language)yes infoSQL92Read-only SQL queries via the MongoDB Connector for BISPARQL is used as query language
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
Proprietary protocolJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
proprietary 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 languagesPHPC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
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 proceduresyesnoyes infovia XQuery or JavaScriptJavaScriptuser 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 nodesnoneShardingShardingSharding infopartitioned by hashed, ranged, or zoned sharding keysnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication, warm standby infosince Version 14Master-slave replicationyesMaster-slave replicationMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnonono infotypically not used, however similar functionality with DBRef possibleyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACID infocan act as a resource manager in an XA/JTA transactionMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyes, with Range Indexesyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users can be defined per databaseRole-based access control at the document and subdocument levelsAccess rights for users and rolesAccess rights for users and roles
More information provided by the system vendor
FileMakerGridDBMarkLogicMongoDBStardog
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
The MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» 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 advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
The main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» 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 scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
MarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» 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 customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
MarkLogic has proven results managing mission-critical data with over 1,000 global...
» 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 metricsGitHub trending repository
» more
MarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» 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 license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
MarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» 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
FileMakerGridDBMarkLogicMongoDBStardog
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