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DBMS > Spark SQL vs. ToroDB vs. Valentina Server vs. YTsaurus

System Properties Comparison Spark SQL vs. ToroDB vs. Valentina Server vs. YTsaurus

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonToroDB  Xexclude from comparisonValentina Server  Xexclude from comparisonYTsaurus  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingA MongoDB-compatible JSON document store, built on top of PostgreSQLObject-relational database and reports serverYTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSDocument storeRelational DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitespark.apache.org/­sqlgithub.com/­torodb/­serverwww.valentina-db.netytsaurus.tech
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpytsaurus.tech/­docs/­en
DeveloperApache Software Foundation8KdataParadigma SoftwareYandex
Initial release2014201619992023
Current release3.5.0 ( 2.13), September 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL-V3commercialOpen 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 languageScalaJavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java 7 VMLinux
OS X
Windows
Ubuntu
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, boolean, date, object_idyesyes
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.nonono
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesYQL, an SQL-based language, is supported
APIs and other access methodsJDBC
ODBC
ODBC
Supported programming languagesJava
Python
R
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.noyes
User concepts infoAccess controlnoAccess rights for users and rolesfine grained access rights according to SQL-standardAccess Control Lists

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More resources
Spark SQLToroDBValentina ServerYTsaurus
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