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DBMS > Amazon SimpleDB vs. FatDB vs. Hazelcast vs. InterSystems Caché

System Properties Comparison Amazon SimpleDB vs. FatDB vs. Hazelcast vs. InterSystems Caché

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonFatDB  Xexclude from comparisonHazelcast  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA .NET NoSQL DBMS that can integrate with and extend SQL Server.A widely adopted in-memory data gridA multi-model DBMS and application server
Primary database modelKey-value storeDocument store
Key-value store
Key-value storeKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Websiteaws.amazon.com/­simpledbhazelcast.comwww.intersystems.com/­products/­cache
Technical documentationdocs.aws.amazon.com/­simpledbhazelcast.org/­imdg/­docsdocs.intersystems.com
DeveloperAmazonFatCloudHazelcastInterSystems
Initial release2007201220081997
Current release5.3.6, November 20232018.1.4, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#Java
Server operating systemshostedWindowsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or datenoyesyesyes
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.yes infothe object must implement a serialization strategyyes
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL ServerSQL-like query languageyes
APIs and other access methodsRESTful HTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JCache
JPA
Memcached protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Java
Server-side scripts infoStored proceduresnoyes infovia applicationsyes infoEvent Listeners, Executor Servicesyes
Triggersnoyes infovia applicationsyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoone or two-phase-commit; repeatable reads; read commitedACID
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 roles can be defined via the AWS Identity and Access Management (IAM)no infoCan implement custom security layer via applicationsRole-based access controlAccess rights for users, groups and roles

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Amazon SimpleDBFatDBHazelcastInterSystems Caché
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