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DBMS > Amazon SimpleDB vs. KeyDB vs. MarkLogic vs. OrientDB

System Properties Comparison Amazon SimpleDB vs. KeyDB vs. MarkLogic vs. OrientDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonKeyDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonOrientDB  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 ScioreAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOperational and transactional Enterprise NoSQL databaseMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelKey-value storeKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Websiteaws.amazon.com/­simpledbgithub.com/­Snapchat/­KeyDB
keydb.dev
www.marklogic.comorientdb.org
Technical documentationdocs.aws.amazon.com/­simpledbdocs.keydb.devdocs.marklogic.comwww.orientdb.com/­docs/­last/­index.html
DeveloperAmazonEQ Alpha Technology Ltd.MarkLogic Corp.OrientDB LTD; CallidusCloud; SAP
Initial release2007201920012010
Current release11.0, December 20223.2.29, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3commercial inforestricted free version is availableOpen Source infoApache version 2
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++C++Java
Server operating systemshostedLinuxLinux
OS X
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeschema-freeschema-freeschema-free infoSchema can be enforcedschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or datenopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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.noyesno
Secondary indexesyes infoAll columns are indexed automaticallyyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLnonoyes infoSQL92SQL-like query language, no joins
APIs and other access methodsRESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocoJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoLuayes infovia XQuery or JavaScriptJava, Javascript
TriggersnonoyesHooks
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
Source-replica replication
yesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynononoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationOptimistic locking, atomic execution of commands blocks and scriptsACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)simple password-based access control and ACLRole-based access control at the document and subdocument levelsAccess rights for users and roles; record level security configurable

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More resources
Amazon SimpleDBKeyDBMarkLogicOrientDB
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