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

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

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonInfluxDB  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 PostgreSQLDBMS for storing time series, events and metricsMicrosofts flagship relational DBMSA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Graph DBMS
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#260  Overall
#121  Relational DBMS
Score28.38
Rank#29  Overall
#1  Time Series DBMS
Score954.02
Rank#3  Overall
#3  Relational DBMS
Score1.26
Rank#154  Overall
#75  Relational DBMS
Websitewww.brytlyt.comwww.influxdata.com/­products/­influxdb-overviewwww.microsoft.com/­en-us/­sql-servergithub.com/­omnisci/­omniscidb
www.omnisci.com
Technical documentationdocs.influxdata.com/­influxdbdocs.microsoft.com/­en-US/­sql/­sql-serverdocs.omnisci.com
DeveloperBrytlytMicrosoftMapD Technologies, Inc.
Initial release2016201319892016
Current release0.9, October 20162.0.8, August 2021SQL Server 2019, November 20195.6, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercial 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 CUDAGoC++C++ and CUDA
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
Linux
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes
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 indexesyesnoyesno
SQL infoSupport of SQLyesSQL-like query languageyesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
JSON over UDP
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
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
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 nodesSharding infoin enterprise version onlytables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infoin enterprise version onlyyes, 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 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.yes infoDepending on used storage engineyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights 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
BrytlytInfluxDBMicrosoft SQL ServerOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BrytlytInfluxDBMicrosoft SQL ServerOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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Recent citations in the news

USD 361.56 million growth for GPU Database Market from 2020 to 2025 |Evolving Opportunities with BlazingSQL Inc., Brytlyt Ltd. & Hetero DB Co. Ltd.|17000+ Technavio Reports
26 November 2021, PRNewswire

Brytlyt Unleashes Serverless GPU-Acceleration for Analytics
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Brytlyt Awarded US Patent for Relational JOINs Algorithm
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Brytlyt Lauded by Frost & Sullivan for Building BrytlytDB, a GPU-powered Analytics Platform that Is Transforming the Way Companies Leverage Data
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20 May 2020, PRNewswire

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USD 361.56 million growth for GPU Database Market from 2020 to 2025 |Evolving Opportunities with BlazingSQL Inc., Brytlyt Ltd. & Hetero DB Co. Ltd.|17000+ Technavio Reports
26 November 2021, Yahoo Finance

OmniSci Announces Multiple Opportunities To Accelerate Geospatial, GPU Database Knowledge At GTC 2021, April 12-16
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