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DBMS > Brytlyt vs. Heroic vs. VelocityDB vs. YTsaurus

System Properties Comparison Brytlyt vs. Heroic vs. VelocityDB vs. YTsaurus

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonHeroic  Xexclude from comparisonVelocityDB  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)YTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSTime Series DBMSGraph DBMS
Object oriented DBMS
Document store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitebrytlyt.iogithub.com/­spotify/­heroicvelocitydb.comytsaurus.tech
Technical documentationdocs.brytlyt.iospotify.github.io/­heroicvelocitydb.com/­UserGuideytsaurus.tech/­docs/­en
DeveloperBrytlytSpotifyVelocityDB IncYandex
Initial release2016201420112023
Current release5.0, August 20237.x
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache License, Version 2.0
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 CUDAJavaC#C++
Server operating systemsLinux
OS X
Windows
Any that supports .NETUbuntu
Data schemeyesschema-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 indexesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLyesnonoYQL, an SQL-based language, is supported
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HQL (Heroic Query Language, a JSON-based language)
HTTP API
.Net
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.NetC++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnono
TriggersyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardBased on Windows AuthenticationAccess Control Lists

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More resources
BrytlytHeroicVelocityDBYTsaurus
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 Secures $4M in Series A Funding
20 May 2020, Datanami

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

Brytlyt raises £3.8m for '1000x faster analytics'
22 December 2021, BusinessCloud

provided by Google News

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News



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