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DBMS > MongoDB vs. Postgres-XL vs. Stardog

System Properties Comparison MongoDB vs. Postgres-XL vs. Stardog

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Editorial information provided by DB-Engines
NameMongoDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoning
Primary database modelDocument storeRelational DBMSGraph DBMS
RDF store
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score413.18
Rank#5  Overall
#1  Document stores
Score0.42
Rank#217  Overall
#103  Relational DBMS
Score0.76
Rank#170  Overall
#13  Graph DBMS
#7  RDF stores
Websitewww.mongodb.comwww.postgres-xl.orgwww.stardog.com
Technical documentationdocs.mongodb.com/­manualwww.postgres-xl.org/­documentationwww.stardog.com/­docs
DeveloperMongoDB, IncStardog-Union
Initial release20092014 infosince 2012, originally named StormDB2010
Current release4.2, August 201910 R1, October 20186.2.3, July 2019
License infoCommercial or Open SourceOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoMozilla public licensecommercial 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 serviceno infoMongoDB available as DBaaS (MongoDB Atlas)nono
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++CJava
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Linux
macOS
Windows
Data schemeschema-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.yesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes
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 infoXML type, but no XML query functionalityno infoImport/export of XML data possible
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Connector for BIyes infodistributed, parallel query executionSPARQL is used as query language
APIs and other access methodsproprietary protocol using JSONADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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 languagesActionscript 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
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresJavaScriptuser defined functionsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes infoin MongoDB Atlas onlyyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infopartitioned by hashed, ranged, or zoned sharding keyshorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-document ACID Transactions with snapshot isolationACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infooptionalyesyes
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 3.2noyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
MongoDBPostgres-XLStardog
Specific characteristicsMongoDB 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 advantagesThe 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 scenariosInternet 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 customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metrics70 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 modelsMongoDB 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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3rd partiesStudio 3T: The world's favorite IDE for working with MongoDB
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Knowi: Build MongoDB Reports and Data Visualizations in Minutes with Native Integration
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Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
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ScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.
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Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MongoDBPostgres-XLStardog
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