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DBMS > Atos Standard Common Repository vs. MongoDB vs. OpenEdge

System Properties Comparison Atos Standard Common Repository vs. MongoDB vs. OpenEdge

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMongoDB  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureApplication development environment with integrated database management system
Primary database modelDocument store
Key-value store
Document storeRelational DBMS
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#343  Overall
#49  Document stores
#62  Key-value stores
Score412.09
Rank#5  Overall
#1  Document stores
Score3.74
Rank#73  Overall
#38  Relational DBMS
Websiteatos.net/­en/­convergence-creators/­portfolio/­standard-common-repositorywww.mongodb.comwww.progress.com/­openedge
Technical documentationdocs.mongodb.com/­manualdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperAtos Convergence CreatorsMongoDB, IncProgress Software Corporation
Initial release201620091984
Current release17034.2, August 2019OpenEdge 11.7, March 2017
License infoCommercial or Open SourcecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercial
Cloud-based only infoOnly available as a cloud servicenono 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 languageJavaC++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsschema-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.yes
Typing infopredefined data types such as float or dateoptionalyes 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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Connector for BIyes infoclose to SQL 92
APIs and other access methodsLDAPproprietary protocol using JSONJDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsActionscript 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
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnoJavaScriptyes
Triggersyesyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infopartitioned by hashed, ranged, or zoned sharding keyshorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and rolesUsers and groups
More information provided by the system vendor
Atos Standard Common RepositoryMongoDBOpenEdge
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesThe MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» 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
Atos Standard Common RepositoryMongoDBOpenEdge
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