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DBMS > Amazon CloudSearch vs. Drizzle vs. Kinetica vs. OmniSci

System Properties Comparison Amazon CloudSearch vs. Drizzle vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GPU-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 DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.28
Rank#89  Overall
#8  Search engines
Score0.56
Rank#199  Overall
#98  Relational DBMS
Score2.74
Rank#103  Overall
#52  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.kinetica.comwww.omnisci.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperAmazonDrizzle project, originally started by Brian AkerKineticaMapD Technologies, Inc.
Initial release2012200820122016
Current release7.2.4, September 20126.0V4
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++C++ and CUDA
Server operating systemshostedFreeBSD
Linux
OS X
LinuxLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexedyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP APIJDBCRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersnono infohooks for callbacks inside the server can be used.yes 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 requiredShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMaster-master replication
Master-slave replication
Master-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
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.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlauthentication via encrypted signaturesPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchDrizzleKineticaOmniSci 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
1 August 2019, Pioneer Reporter

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Enterprise Semantic Search Software Market is Thriving Worldwide with Prominent Players – SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch
29 July 2019, News Exterior

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29 July 2019, Forbes

GPU Database Market SWOT Analysis including key players Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb
26 July 2019, PortNews24

GPU Database Market SWOT Analysis by Key Futuristic Trends from 2019-2027 | Brytlyt, Fuzzy Logix, Jedox AG, Kinetica DB, Neo4j, OmniSci
8 August 2019, Rise Media

GPU Database Market Size, Status and Forecast 2019-2025 | Omnisci, Sqream, Kinetica
24 July 2019, Market Analyst

Kinetica Delivers GPU-Accelerated Analytics Engine to SoftBank
1 November 2018, Business Wire

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Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

GPU Database Market Size, Status and Forecast 2019-2025 | Omnisci, Sqream, Kinetica
24 July 2019, Market Analyst

GPU Database Market SWOT Analysis including key players Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb
26 July 2019, PortNews24

GPU Database Market SWOT Analysis by Key Futuristic Trends from 2019-2027 | Brytlyt, Fuzzy Logix, Jedox AG, Kinetica DB, Neo4j, OmniSci
8 August 2019, Rise Media

Global GPU Database Market is estimated to Grow at the Highest Growth Rate till 2023 | Key players: Kinetica, Omnisci, Sqream, etc.
30 July 2019, The Market Plan

provided by Google News

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