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DBMS > Amazon CloudSearch vs. Apache IoTDB vs. Hyprcubd vs. MarkLogic

System Properties Comparison Amazon CloudSearch vs. Apache IoTDB vs. Hyprcubd vs. MarkLogic

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache IoTDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonMarkLogic  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkServerless Time Series DBMSOperational and transactional Enterprise NoSQL database
Primary database modelSearch engineTime Series DBMSTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#140  Overall
#12  Search engines
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Websiteaws.amazon.com/­cloudsearchiotdb.apache.orghyprcubd.com (offline)www.marklogic.com
Technical documentationdocs.aws.amazon.com/­cloudsearchiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.marklogic.com
DeveloperAmazonApache Software FoundationHyprcubd, Inc.MarkLogic Corp.
Initial release201220182001
Current release1.1.0, April 202311.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++
Server operating systemshostedAll OS with a Java VM (>= 1.8)hostedLinux
OS X
Windows
Data schemeyesyesyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyes
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.nonoyes
Secondary indexesyes infoall search fields are automatically indexedyesnoyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languageyes infoSQL92
APIs and other access methodsHTTP APIJDBC
Native API
gRPC (https)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
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoyes infovia XQuery or JavaScript
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
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.yesnoyes, with Range Indexes
User concepts infoAccess controlauthentication via encrypted signaturesyestoken accessRole-based access control at the document and subdocument levels

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More resources
Amazon CloudSearchApache IoTDBHyprcubdMarkLogic
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