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DBMS > Brytlyt vs. Hive vs. SQream DB vs. Valentina Server

System Properties Comparison Brytlyt vs. Hive vs. SQream DB vs. Valentina Server

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonHive  Xexclude from comparisonSQream DB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLdata warehouse software for querying and managing large distributed datasets, built on Hadoopa GPU-based, columnar RDBMS for big data analytics workloadsObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitebrytlyt.iohive.apache.orgsqream.comwww.valentina-db.net
Technical documentationdocs.brytlyt.iocwiki.apache.org/­confluence/­display/­Hive/­Homedocs.sqream.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperBrytlytApache Software Foundation infoinitially developed by FacebookSQream TechnologiesParadigma Software
Initial release2016201220171999
Current release5.0, August 20233.1.3, April 20222022.1.6, December 20225.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercial
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++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinuxLinux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes
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.
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
.Net
JDBC
ODBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes infouser defined functions and integration of map-reduceuser defined functions in Pythonyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
BrytlytHiveSQream DBValentina Server
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