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DBMS > Brytlyt vs. Lovefield

System Properties Comparison Brytlyt vs. Lovefield

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#253  Overall
#119  Relational DBMS
Score0.39
Rank#255  Overall
#120  Relational DBMS
Websitewww.brytlyt.comgoogle.github.io/­lovefield
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperBrytlytGoogle
Initial release20162014
Current release0.9, October 20162.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
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 CUDAJavaScript
Server operating systemsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
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.no
Secondary indexesyesyes
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLno
TriggersyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDB
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
BrytlytLovefield
Recent citations in the news

GPU Database Market 2025: Strong Sales Outlook Ahead | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox – Puck77
22 October 2021, Puck77

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
21 June 2021, MarTech Series

Brytlyt Secures Series A to Turbocharge Real-Time Data Analytics
20 May 2020, PRNewswire

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

provided by Google News



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