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DBMS > 4D vs. Amazon DocumentDB vs. Atos Standard Common Repository vs. Brytlyt vs. Faircom EDGE

System Properties Comparison 4D vs. Amazon DocumentDB vs. Atos Standard Common Repository vs. Brytlyt vs. Faircom EDGE

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBrytlyt  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments
Primary database modelRelational DBMSDocument storeDocument store
Key-value store
Relational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.91
Rank#132  Overall
#24  Document stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Websitewww.4d.comaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorybrytlyt.iowww.faircom.com/­products/­faircom-edge
Technical documentationdeveloper.4d.comaws.amazon.com/­documentdb/­resourcesdocs.brytlyt.iodocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
Developer4D, IncAtos Convergence CreatorsBrytlytFairCom Corporation
Initial release19842019201620161979
Current releasev20, April 202317035.0, August 2023V3, October 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial infoRestricted, free version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAANSI C, C++
Server operating systemsOS X
Windows
hostedLinuxLinux
OS X
Windows
Android
Linux infoARM, x86
Raspbian
Windows
Data schemeyesschema-freeSchema and schema-less with LDAP viewsyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesoptionalyesyes, ANSI Standard SQL Types
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.yesnoyesyes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92nonoyesyes infoANSI SQL queries
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
proprietary protocol using JSON (MongoDB compatible)LDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
Go
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Server-side scripts infoStored proceduresyesnonouser defined functions infoin PL/pgSQLyes info.Net, JavaScript, C/C++
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infocell divisionFile partitioning infoCustomizable business rules for partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesSource-replica replicationyes infoSynchronous and asynchronous realtime replication based on transaction logs
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possiblenoyesyes infowhen using SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoacross SQL and NoSQL
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers and groupsAccess rights for users and rolesLDAP bind authenticationfine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

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More resources
4D infoformer name: 4th DimensionAmazon DocumentDBAtos Standard Common RepositoryBrytlytFaircom EDGE infoformerly c-treeEDGE
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