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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. Brytlyt vs. InterSystems IRIS

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. Brytlyt vs. InterSystems IRIS

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBrytlyt  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast, 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 PostgreSQLA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelDocument storeDocument store
Key-value store
Relational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.69
Rank#133  Overall
#22  Document stores
Score0.40
Rank#253  Overall
#118  Relational DBMS
Score1.80
Rank#128  Overall
#21  Document stores
#23  Key-value stores
#2  Object oriented DBMS
#63  Relational DBMS
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.brytlyt.comwww.intersystems.com/­products/­intersystems-iris
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperAtos Convergence CreatorsBrytlytInterSystems
Initial release2019201620162018
Current release17030.9, October 20162021.1, June 2021
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDA
Server operating systemshostedLinuxLinux
OS X
Windows
AIX
Linux
macOS
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsyesdepending on used data model
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesyes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functions infoin PL/pgSQLyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationfine grained access rights according to SQL-standardyes

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More resources
Amazon DocumentDBAtos Standard Common RepositoryBrytlytInterSystems IRIS
Recent citations in the news

Modernizing Applications with a Document Database
7 January 2022, Database Trends and Applications

Amazon DocumentDB adds Global Clusters
2 June 2021, ZDNet

AWS DocumentDB not MongoDB-compatible, says MongoDB Inc
6 December 2021, The Register

Introduction to Amazon DocumentDB With MongoDB Compatibility
19 October 2020, AiThority

AWS Announces Amazon DocumentDB (with MongoDB Compatibility)
9 January 2019, Business Wire

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GPU-accelerated data analytics startup Brytlyt raises $5M
22 December 2021, SiliconANGLE News

Brytlyt Awarded US Patent for Relational JOINs Algorithm
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Brytlyt Secures Series A to Turbocharge Real-Time Data Analytics
20 May 2020, PRNewswire

Brytlyt Welcomes John McAdam as Chairman of the Board
20 October 2020, PR Newswire UK

London-based Brytlyt secures €3.6 million for its real-time data analytics
20 May 2020, EU-Startups

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Latest Release of InterSystems IRIS Data Platform Provides Next Step in Data Fabric Adoption
17 June 2021, Business Wire

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1 December 2021, Business Wire

InterSystems IRIS for Health™ and First Line Software to Streamline Clinical Research Workflows on i2b2
29 October 2021, Business Wire

InterSystems IRIS® FHIR® Accelerator Service Enables Easy Retrieval and Storage of Healthcare Data
20 September 2021, Business Wire

eConsult partners with InterSystems to help expand solution deployment
1 December 2021, Digital Health

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