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DBMS > Brytlyt vs. Microsoft Azure Search vs. OmniSci

System Properties Comparison Brytlyt vs. Microsoft Azure Search vs. OmniSci

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonMicrosoft Azure Search  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 PostgreSQLSearch-as-a-service for web and mobile app developmentA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#242  Overall
#115  Relational DBMS
Score6.05
Rank#60  Overall
#7  Search engines
Score1.24
Rank#151  Overall
#72  Relational DBMS
Websitewww.brytlyt.comazure.microsoft.com/­en-us/­services/­searchwww.omnisci.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­searchdocs.omnisci.com
DeveloperBrytlytMicrosoftMapD Technologies, Inc.
Initial release201620152016
Current release0.9, October 2016V15.5, January 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC++ and CUDA
Server operating systemsLinux
OS X
Windows
hostedLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLyesnoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIJDBC
ODBC
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C#
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
BrytlytMicrosoft Azure SearchOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

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Recent citations in the news

Brytlyt's Accelerated Analytics - Powered by GPU
6 May 2021, insideHPC

GPU Database Market Size and Growth Rate 2021 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover – Brockville Observer
13 May 2021, Brockville Observer

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11 May 2021, Clark County Blog

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GPU Database Market Growth Forecast Analysis 2020-2026 | Best Companies – Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, etc – Brockville Observer
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GPU Database Market Projections, Segmentation, Competitors Analysis, Trends and Forecast by 2021| Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox – Brockville Observer
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