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DBMS > Amazon CloudSearch vs. Kinetica vs. OmniSci

System Properties Comparison Amazon CloudSearch vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelSearch engineRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.54
Rank#93  Overall
#9  Search engines
Score0.58
Rank#192  Overall
#96  Relational DBMS
Score2.55
Rank#92  Overall
#47  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.kinetica.comwww.omnisci.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperAmazonKineticaMapD Technologies, Inc.
Initial release201220122016
Current release6.0V4
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
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++C++ and CUDA
Server operating systemshostedLinuxLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexedyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP APIRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
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 infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMaster-slave replicationMaster-master replication
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 configurationImmediate Consistency
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 RAMyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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Recent citations in the news

Enterprise Search Software Market Is Booming Worldwide | SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch
20 June 2019, Market News Reports

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27 May 2019, The Market Research News

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5 June 2019, Business Wire

Know in depth about Global GPU Database Market 2019-2026 Profiling key players like Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai
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