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DBMS > Amazon CloudSearch vs. BaseX vs. Datastax Enterprise vs. Linter

System Properties Comparison Amazon CloudSearch vs. BaseX vs. Datastax Enterprise vs. Linter

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBaseX  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.RDBMS for high security requirements
Primary database modelSearch engineNative XML DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score0.12
Rank#350  Overall
#152  Relational DBMS
Websiteaws.amazon.com/­cloudsearchbasex.orgwww.datastax.com/­products/­datastax-enterpriselinter.ru
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.basex.orgdocs.datastax.com
DeveloperAmazonBaseX GmbHDataStaxrelex.ru
Initial release2012200720111990
Current release11.0, June 20246.8, April 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercialcommercial
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.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaC and C++
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyes
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.nono
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL); Spark SQLyes
APIs and other access methodsHTTP APIJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresnoyesnoyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnoyes infovia eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writerno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 controlauthentication via encrypted signaturesUsers with fine-grained authorization concept on 4 levelsAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon CloudSearchBaseXDatastax EnterpriseLinter
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
Amazon CloudSearchBaseXDatastax EnterpriseLinter
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