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DBMS > Altibase vs. Amazon SimpleDB vs. Google Cloud Spanner vs. InterSystems IRIS

System Properties Comparison Altibase vs. Amazon SimpleDB vs. Google Cloud Spanner vs. InterSystems IRIS

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelRelational DBMSKey-value storeRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#170  Overall
#84  Relational DBMS
Score2.20
Rank#115  Overall
#22  Key-value stores
Score3.32
Rank#93  Overall
#49  Relational DBMS
Score1.72
Rank#131  Overall
#21  Document stores
#23  Key-value stores
#2  Object oriented DBMS
#65  Relational DBMS
Websitealtibase.comaws.amazon.com/­simpledbcloud.google.com/­spannerwww.intersystems.com/­products/­intersystems-iris
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.aws.amazon.com/­simpledbcloud.google.com/­spanner/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperAltibaseAmazonGoogleInterSystems
Initial release1999200720172018
Current releasev7.1.0.5.3, March 20212021.1, June 2021
License infoCommercial or Open SourceOpen Source infosince February 2018commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsAIX
HP-UX
Linux
hostedhostedAIX
Linux
macOS
Windows
Data schemeyesschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyes
Secondary indexesyesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLANSI SQL-92noyes infoQuery statements complying to ANSI 2011yes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsnonoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoSharding must be implemented in the applicationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication with 3 replicas for regional instances.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationACID infoStrict serializable isolationACID
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes

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More resources
AltibaseAmazon SimpleDBGoogle Cloud SpannerInterSystems IRIS
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