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DBMS > Amazon CloudSearch vs. EXASOL vs. MarkLogic vs. Vitess

System Properties Comparison Amazon CloudSearch vs. EXASOL vs. MarkLogic vs. Vitess

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEXASOL  Xexclude from comparisonMarkLogic  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Operational and transactional Enterprise NoSQL databaseScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelSearch engineRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.exasol.comwww.progress.com/­marklogicvitess.io
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.exasol.com/­resourceswww.progress.com/­marklogic/­documentationvitess.io/­docs
DeveloperAmazonExasolMarkLogic Corp.The Linux Foundation, PlanetScale
Initial release2012200020012013
Current release11.0, December 202215.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Source infoApache Version 2.0, commercial licenses 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++Go
Server operating systemshostedLinux
OS X
Windows
Docker
Linux
macOS
Data schemeyesyesschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoyesyes infoSQL92yes infowith proprietary extensions
APIs and other access methodsHTTP API.Net
JDBC
ODBC
WebSocket
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJava
Lua
Python
R
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functionsyes infovia XQuery or JavaScriptyes infoproprietary syntax
Triggersnoyesyesyes
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 AWSyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infocan act as a resource manager in an XA/JTA transactionACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.yesyes, with Range Indexesyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users, groups and roles according to SQL-standardRole-based access control at the document and subdocument levelsUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon CloudSearchEXASOLMarkLogicVitess
DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

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Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

Recent citations in the news

Transition from Amazon CloudSearch to Amazon OpenSearch Service
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