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DBMS > Amazon CloudSearch vs. Prometheus vs. Yaacomo vs. Yanza

System Properties Comparison Amazon CloudSearch vs. Prometheus vs. Yaacomo vs. Yanza

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonPrometheus  Xexclude from comparisonYaacomo  Xexclude from comparisonYanza  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines rankingYanza 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 cloudOpen-source Time Series DBMS and monitoring systemOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computingTime Series DBMS for IoT Applications
Primary database modelSearch engineTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchprometheus.ioyaacomo.comyanza.com
Technical documentationdocs.aws.amazon.com/­cloudsearchprometheus.io/­docs
DeveloperAmazonQ2WEB GmbHYanza
Initial release2012201520092015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemshostedLinux
Windows
Android
Linux
Windows
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyesno
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.no infoImport of XML data possiblenono
Secondary indexesyes infoall search fields are automatically indexednoyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsHTTP APIRESTful HTTP/JSON APIJDBC
ODBC
HTTP API
Supported programming languages.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonono
Triggersnonoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infoby FederationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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.noyes
User concepts infoAccess controlauthentication via encrypted signaturesnofine grained access rights according to SQL-standardno

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More resources
Amazon CloudSearchPrometheusYaacomoYanza
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