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DBMS > Brytlyt vs. JaguarDB vs. Microsoft SQL Server vs. OmniSci

System Properties Comparison Brytlyt vs. JaguarDB vs. Microsoft SQL Server vs. OmniSci

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLPerformant, highly scalable DBMS for AI and IoT applicationsMicrosofts flagship relational DBMSA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#265  Overall
#123  Relational DBMS
Score0.00
Rank#353  Overall
#58  Key-value stores
Score954.29
Rank#3  Overall
#3  Relational DBMS
Score1.47
Rank#143  Overall
#70  Relational DBMS
Websitewww.brytlyt.comwww.datajaguar.comwww.microsoft.com/­en-us/­sql-servergithub.com/­omnisci/­omniscidb
www.omnisci.com
Technical documentationwww.datajaguar.com/­support.phpdocs.microsoft.com/­en-US/­sql/­sql-serverdocs.omnisci.com
DeveloperBrytlytDataJaguar, Inc.MicrosoftMapD Technologies, Inc.
Initial release2016201519892016
Current release0.9, October 20162.9.4 September 2018SQL Server 2019, November 20195.6, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercial inforestricted free version is availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC++ infothe server part. Clients available in other languagesC++C++ and CUDA
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
Linux
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.yes infospecific XML-type available, but no XML query functionality.noyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Thrift
Vega
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyes, but depending on the SQL-Server EditionMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
BrytlytJaguarDBMicrosoft SQL ServerOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsSQL support, group by, order by, time-series data auto-aggregation
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, geospatial data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BrytlytJaguarDBMicrosoft SQL ServerOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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