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DBMS > Brytlyt vs. Lovefield vs. Microsoft Azure Table Storage vs. OmniSci

System Properties Comparison Brytlyt vs. Lovefield vs. Microsoft Azure Table Storage vs. OmniSci

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Table Storage  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 PostgreSQLEmbeddable relational database for web apps written in pure JavaScriptA Wide Column Store for rapid development using massive semi-structured datasetsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#260  Overall
#121  Relational DBMS
Score0.30
Rank#269  Overall
#124  Relational DBMS
Score5.28
Rank#71  Overall
#5  Wide column stores
Score1.26
Rank#154  Overall
#75  Relational DBMS
Websitewww.brytlyt.comgoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­omnisci/­omniscidb
www.omnisci.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.omnisci.com
DeveloperBrytlytGoogleMicrosoftMapD Technologies, Inc.
Initial release2016201420122016
Current release0.9, October 20162.1.12, February 20175.6, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAJavaScriptC++ and CUDA
Server operating systemsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedLinux
Data schemeyesyesschema-freeyes
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.nonono
Secondary indexesyesyesnono
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternnoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIJDBC
ODBC
Thrift
Vega
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
JavaScript.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnonono
TriggersyesUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-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 integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
BrytlytLovefieldMicrosoft Azure Table StorageOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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
15 September 2021, PR Newswire UK

Brytlyt Awarded US Patent for Relational JOINs Algorithm
27 August 2021, PRNewswire

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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Microsoft Announces Azure Chaos Studio in Public Preview
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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
12 April 2021, PRNewswire

Incredible Growth of GPU Database Market by 2028 | Kinetica, Omnisci, Sqream
4 October 2021, Global Banking And Finance Review

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

OmniSci Drops OmniSci Free Edition Analytics and Data Science Platform
9 March 2021, Solutions Review

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