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DBMS > Amazon SimpleDB vs. EJDB vs. Firebird vs. Hazelcast

System Properties Comparison Amazon SimpleDB vs. EJDB vs. Firebird vs. Hazelcast

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonEJDB  Xexclude from comparisonFirebird  Xexclude from comparisonHazelcast  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 ScioreEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Firebird is an open source RDBMS forked from Borland's InterBaseA widely adopted in-memory data grid
Primary database modelKey-value storeDocument storeRelational DBMSKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websiteaws.amazon.com/­simpledbgithub.com/­Softmotions/­ejdbwww.firebirdsql.orghazelcast.com
Technical documentationdocs.aws.amazon.com/­simpledbgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.firebirdsql.org/­en/­reference-manualshazelcast.org/­imdg/­docs
DeveloperAmazonSoftmotionsFirebird FoundationHazelcast
Initial release200720122000 infoAs fork of Borland's InterBase2008
Current release5.0.0, January 20245.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++Java
Server operating systemshostedserver-lessAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
All OS with a Java VM
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idyesyes
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 strategy
Secondary indexesyes infoAll columns are indexed automaticallynoyesyes
SQL infoSupport of SQLnonoyesSQL-like query language
APIs and other access methodsRESTful HTTP APIin-process shared libraryADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnonoPSQLyes infoEvent Listeners, Executor Services
Triggersnonoyesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replicationyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes
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.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noUsers with fine-grained authorization conceptRole-based access control

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More resources
Amazon SimpleDBEJDBFirebirdHazelcast
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