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DBMS > Kinetica vs. searchxml

System Properties Comparison Kinetica vs. searchxml

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#192  Overall
#96  Relational DBMS
Score0.00
Rank#347  Overall
#7  Native XML DBMS
#19  Search engines
Websitewww.kinetica.comwww.searchxml.net/­category/­products
Technical documentationwww.kinetica.com/­docswww.searchxml.net/­support/­handouts
DeveloperKineticainformationpartners gmbh
Initial release20122015
Current release6.01.0
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++
Server operating systemsLinuxWindows
Data schemeyesschema-free
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.noyes
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresuser defined functionsyes infoon the application server
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writer
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 infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles on table levelDomain, group and role-based access control at the document level and for application services

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More resources
Kineticasearchxml
Recent citations in the news

GPU Database Market Is Thriving Worldwide with Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt – Clark County Blog
20 April 2021, Clark County Blog

GPU Database Market to See Strong Growth Momentum | Kinetica, OmniSci, SQream, Neo4j, NVIDIA – NeighborWebSJ
18 April 2021, NeighborWebSJ

GPU Database Market Value Predicted To Reach US$ XX Billion By 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA – NeighborWebSJ
17 April 2021, NeighborWebSJ

GPU Database Market 2021 Industry Size, Share, Growth and Top Companies Analysis- Kinetica, Omnisci, Sqream, Neo4j, Nvidia, etc. – NeighborWebSJ
20 April 2021, NeighborWebSJ

GPU Database Market Size 2021, by Leading Players: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda – SoccerNurds
19 April 2021, SoccerNurds

provided by Google News




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