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DBMS > Amazon CloudSearch vs. OmniSci

System Properties Comparison Amazon CloudSearch vs. OmniSci

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  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 cloudA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.77
Rank#106  Overall
#9  Search engines
Score2.07
Rank#125  Overall
#62  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.omnisci.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.omnisci.com
DeveloperAmazonMapD Technologies, Inc.
Initial release20122016
Current releaseV4
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDA
Server operating systemshostedLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyes infoall search fields are automatically indexedno
SQL infoSupport of SQLnoyes
APIs and other access methodsHTTP APIJDBC
ODBC
Thrift
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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 signaturesfine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

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

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

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