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

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

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonFirebird  Xexclude from comparisonHazelcast  Xexclude from comparisonSplunk  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 ScioreFirebird is an open source RDBMS forked from Borland's InterBaseA widely adopted in-memory data gridAnalytics Platform for Big Data
Primary database modelKey-value storeRelational DBMSKey-value storeSearch engine
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
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score89.10
Rank#14  Overall
#2  Search engines
Websiteaws.amazon.com/­simpledbwww.firebirdsql.orghazelcast.comwww.splunk.com
Technical documentationdocs.aws.amazon.com/­simpledbwww.firebirdsql.org/­en/­reference-manualshazelcast.org/­imdg/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperAmazonFirebird FoundationHazelcastSplunk Inc.
Initial release20072000 infoAs fork of Borland's InterBase20082003
Current release5.0.0, January 20245.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2; commercial licenses availablecommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
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 SQLnoyesSQL-like query languageno infoSplunk Search Processing Language for search commands
APIs and other access methodsRESTful HTTP APIADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP REST
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoPSQLyes infoEvent Listeners, Executor Servicesyes
Triggersnoyesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoReplicated MapMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
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 AlgorithmEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDone or two-phase-commit; repeatable reads; read commitedno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization conceptRole-based access controlAccess rights for users and roles

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More resources
Amazon SimpleDBFirebirdHazelcastSplunk
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