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DBMS > Amazon SimpleDB vs. atoti vs. BigchainDB vs. Faircom EDGE vs. InterSystems IRIS

System Properties Comparison Amazon SimpleDB vs. atoti vs. BigchainDB vs. Faircom EDGE vs. InterSystems IRIS

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonatoti  Xexclude from comparisonBigchainDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelKey-value storeObject oriented DBMSDocument storeKey-value store
Relational DBMS
Document store
Key-value store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Websiteaws.amazon.com/­simpledbatoti.iowww.bigchaindb.comwww.faircom.com/­products/­faircom-edgewww.intersystems.com/­products/­intersystems-iris
Technical documentationdocs.aws.amazon.com/­simpledbdocs.atoti.iobigchaindb.readthedocs.io/­en/­latestdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperAmazonActiveViamFairCom CorporationInterSystems
Initial release2007201619792018
Current releaseV3, October 20202023.3, June 2023
License infoCommercial or Open Sourcecommercialcommercial infofree versions availableOpen Source infoAGPL v3commercial infoRestricted, free version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonANSI C, C++
Server operating systemshostedLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
Linux
macOS
Ubuntu
Windows
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)depending on used data model
Typing infopredefined data types such as float or datenonoyes, ANSI Standard SQL Typesyes
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
Secondary indexesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)noyes infoANSI SQL queriesyes
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPythonyes info.Net, JavaScript, C/C++yes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding, horizontal partitioningShardingFile partitioning infoCustomizable business rules for partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infowhen using SQLyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yes
More information provided by the system vendor
Amazon SimpleDBatotiBigchainDBFaircom EDGE infoformerly c-treeEDGEInterSystems IRIS
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Amazon SimpleDBatotiBigchainDBFaircom EDGE infoformerly c-treeEDGEInterSystems IRIS
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