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DBMS > Amazon SimpleDB vs. Firebase Realtime Database vs. GigaSpaces vs. Hazelcast vs. Hypertable

System Properties Comparison Amazon SimpleDB vs. Firebase Realtime Database vs. GigaSpaces vs. Hazelcast vs. Hypertable

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHazelcast  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and 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 ScioreCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA widely adopted in-memory data gridAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelKey-value storeDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Key-value storeWide column store
Secondary database modelsGraph DBMS
Search engine
Document store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score14.29
Rank#39  Overall
#6  Document stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Websiteaws.amazon.com/­simpledbfirebase.google.com/­products/­realtime-databasewww.gigaspaces.comhazelcast.com
Technical documentationdocs.aws.amazon.com/­simpledbfirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.htmlhazelcast.org/­imdg/­docs
DeveloperAmazonGoogle infoacquired by Google 2014Gigaspaces TechnologiesHazelcastHypertable Inc.
Initial release20072012200020082009
Current release15.5, September 20205.3.6, November 20230.9.8.11, March 2016
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaC++
Server operating systemshostedhostedLinux
macOS
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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.nono infoXML can be used for describing objects metadatayes infothe object must implement a serialization strategy
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnonoSQL-99 for query and DML statementsSQL-like query languageno
APIs and other access methodsRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JCache
JPA
Memcached protocol
RESTful HTTP API
C++ API
Thrift
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Java
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yesyes infoEvent Listeners, Executor Servicesno
TriggersnoCallbacks are triggered when data changesyes, event driven architectureyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infoReplicated Mapselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyesACIDone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes, based on authentication and database rulesRole-based access controlRole-based access controlno

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More resources
Amazon SimpleDBFirebase Realtime DatabaseGigaSpacesHazelcastHypertable
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