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DBMS > Amazon CloudSearch vs. Kinetica vs. Prometheus

System Properties Comparison Amazon CloudSearch vs. Kinetica vs. Prometheus

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonKinetica  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFully vectorized database across both GPUs and CPUsOpen-source Time Series DBMS and monitoring system
Primary database modelSearch engineRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchwww.kinetica.comprometheus.io
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.kinetica.comprometheus.io/­docs
DeveloperAmazonKinetica
Initial release201220122015
Current release7.1, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Go
Server operating systemshostedLinuxLinux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data only
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 infoImport of XML data possible
Secondary indexesyes infoall search fields are automatically indexedyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and roles on table levelno

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More resources
Amazon CloudSearchKineticaPrometheus
DB-Engines blog posts

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

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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Is Amazon CloudSearch superior to do-it-yourself search tools?
24 January 2014, TechTarget

Searching CloudTrail Logs Easily with Amazon CloudSearch | AWS Startups Blog
21 October 2014, AWS Blog

Amazon Takes On Google And Microsoft With CloudSearch
16 April 2012, Forbes

Amazon CloudSearch – Even Better Searching for Less Than $100/Month | Amazon Web Services
24 March 2014, AWS Blog

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