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DBMS > Brytlyt vs. Virtuoso

System Properties Comparison Brytlyt vs. Virtuoso

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelRelational DBMSGraph DBMS
Native XML DBMS
Relational DBMS
RDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#278  Overall
#128  Relational DBMS
Score2.80
Rank#85  Overall
#5  Graph DBMS
#2  Native XML DBMS
#44  Relational DBMS
#2  RDF stores
Websitewww.brytlyt.comvirtuoso.openlinksw.com
Technical documentationdocs.openlinksw.com/­virtuoso
DeveloperBrytlytOpenLink Software
Initial release20161998
Current release0.9, October 20168.2, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license available
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++ and CUDAC
Server operating systemsLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
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.yes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyesyes
SQL infoSupport of SQLyesyes
APIs and other access methodsnative C library
streaming API for large objects
ADO.NET
JDBC
ODBC
HTTP API
OLE DB
WebDAV
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes infoVirtuoso PL
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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 controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
BrytlytVirtuoso
Specific characteristicsVirtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesPerformance & Scale โ€” as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosUsed for โ€” Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersBroad use across enterprises and governments including โ€” European Union (EU) US Government...
» more
Market metricsLargest installed-base โ€‹of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsAvailable in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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More resources
BrytlytVirtuoso
Recent citations in the news

Brytlyt Creates an Analytics Workbench Without Compromise
13 September 2019, PRNewswire

Global GPU Database Market Revenue Strategy 2019-2024 | Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
21 August 2019, Tribune City

Brytlyt Makes Ground-breaking Progress on the TPC-H Benchmark
17 April 2019, PRNewswire

GPU Database Market 2019 explosive growth with technical aspects by major players BlazingDB, Anaconda, OmniSci, Blazegraph, Fuzzy Logix, NVIDIA, Zilliz, Brytlyt, HeteroDB, SQream
12 September 2019, Tribune City

Brytlyt Release Version 3.0 of the World's Fastest GPU Database
4 March 2019, PRNewswire

provided by Google News




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