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DBMS > Brytlyt vs. Spark SQL vs. TimesTen vs. Valentina Server

System Properties Comparison Brytlyt vs. Spark SQL vs. TimesTen vs. Valentina Server

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonSpark SQL  Xexclude from comparisonTimesTen  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processingIn-Memory RDBMS compatible to OracleObject-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
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitebrytlyt.iospark.apache.org/­sqlwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.valentina-db.net
Technical documentationdocs.brytlyt.iospark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.oracle.com/­database/­timesten-18.1valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperBrytlytApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Paradigma Software
Initial release2016201419981999
Current release5.0, August 20233.5.0 ( 2.13), September 202311 Release 2 (11.2.2.8.0)5.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAScala
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
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.nono
Secondary indexesyesnoyesyes
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
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Java
Python
R
Scala
C
C++
Java
PL/SQL
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoPL/SQLyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corenone
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 ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesyes
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 persistentyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BrytlytSpark SQLTimesTenValentina Server
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