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DBMS > Brytlyt vs. TerarkDB vs. Vitess

System Properties Comparison Brytlyt vs. TerarkDB vs. Vitess

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonTerarkDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#276  Overall
#126  Relational DBMS
Score0.06
Rank#377  Overall
#57  Key-value stores
Score1.17
Rank#185  Overall
#85  Relational DBMS
Websitebrytlyt.iogithub.com/­bytedance/­terarkdbvitess.io
Technical documentationdocs.brytlyt.iobytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcvitess.io/­docs
DeveloperBrytlytByteDance, originally TerarkThe Linux Foundation, PlanetScale
Initial release201620162013
Current release5.0, August 202315.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercial inforestricted open source version availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
PlanetScale: The easiest way to deploy Vitess in the cloud. Get the scalability of Vitess without all the work. Start your fully managed database with PlanetScale today.
Implementation languageC, C++ and CUDAC++Go
Server operating systemsLinux
OS X
Windows
Docker
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesnoyes
SQL infoSupport of SQLyesnoyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyes infoproprietary syntax
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
BrytlytTerarkDBVitess
Recent citations in the news

Brytlyt releases version 5.0, introducing a more intuitive, intelligent and flexible analytics platform
1 August 2023, PR Newswire

London data analytics startup Brytlyt raises €4.43M from Amsterdam-based Finch Capital, others
22 December 2021, Silicon Canals

Brytlyt raises a further $5M investment to continue its impressive growth in the Real-Time Data Analytics Sector -
22 December 2021, Amadeus Capital Partners

Brytlyt becomes NVIDIA Inception Premier Partner
31 January 2023, PR Newswire

Bringing GPUs To Bear On Bog Standard Relational Databases
26 February 2018, The Next Platform

provided by Google News

Terark, A Chinese Startup, May Have Just Revolutionized How Data Is Stored, Accessed & Analyzed
26 June 2017, Indiatimes.com

A Chinese company is making the cloud 200x faster · TechNode
3 July 2017, TechNode

provided by Google News

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

They scaled YouTube — now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

PlanetScale Serves up Vitess-Powered Serverless MySQL
23 November 2021, The New Stack

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

PlanetScale review: Horizontally scalable MySQL in the cloud
1 September 2021, InfoWorld

provided by Google News



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