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DBMS > Amazon CloudSearch vs. Citus vs. KeyDB vs. MarkLogic

System Properties Comparison Amazon CloudSearch vs. Citus vs. KeyDB vs. MarkLogic

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCitus  Xexclude from comparisonKeyDB  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOperational and transactional Enterprise NoSQL database
Primary database modelSearch engineRelational DBMSKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score2.21
Rank#118  Overall
#56  Relational DBMS
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
Websiteaws.amazon.com/­cloudsearchwww.citusdata.comgithub.com/­Snapchat/­KeyDB
keydb.dev
www.marklogic.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.citusdata.comdocs.keydb.devdocs.marklogic.com
DeveloperAmazonEQ Alpha Technology Ltd.MarkLogic Corp.
Initial release2012201020192001
Current release8.1, December 201811.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availableOpen Source infoBSD-3commercial inforestricted free version is 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 languageCC++C++
Server operating systemshostedLinuxLinuxLinux
OS X
Windows
Data schemeyesyesschema-freeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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 infospecific XML type available, but no XML query functionalitynoyes
Secondary indexesyes infoall search fields are automatically indexedyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsnoyes infoSQL92
APIs and other access methodsHTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary 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
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Luayes infovia XQuery or JavaScript
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDOptimistic locking, atomic execution of commands blocks and scriptsACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardsimple password-based access control and ACLRole-based access control at the document and subdocument levels

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More resources
Amazon CloudSearchCitusKeyDBMarkLogic
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