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DBMS > Brytlyt

Brytlyt System Properties

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Editorial information provided by DB-Engines
NameBrytlyt
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQL
Primary database modelRelational DBMS
Additional database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#297  Overall
#129  Relational DBMS
Websitewww.brytlyt.com
DeveloperBrytlyt
Initial release2016
Current release0.9, October 2016
License infoCommercial or Open Sourcecommercial
Cloud-based infoOnly available as a cloud serviceno
Implementation languageC, C++ and CUDA
Server operating systemsLinux
OS X
Windows
Data schemeyes
Typing infopredefined data types such as float or dateyes
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.yes infospecific XML-type available, but no XML query functionality.
Secondary indexesyes
SQL infoSupport of SQLyes
APIs and other access methodsnative C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQL
Triggersyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
Brytlyt
Recent citations in the news

GPUs Accelerate brytlyt Enterprise Data Platform
17 March 2015, insideBIGDATA

GPUs Ready to Take on the Next-Generation Database
19 September 2017, IT Business Edge (blog)

GPU-accelerated computing makes its way into the data center
16 February 2017, TechTarget

8 technologies transforming the database
19 September 2017, Networks Asia

How To Spend Less Time Processing Queries And More Time Gaining Insights
14 September 2017, insideBIGDATA

provided by Google News




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