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DBMS > Spark SQL vs. ToroDB

System Properties Comparison Spark SQL vs. ToroDB

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonToroDB  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.04
Rank#35  Overall
#21  Relational DBMS
Score0.01
Rank#351  Overall
#46  Document stores
Websitespark.apache.org/­sqlwww.torodb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.torodb.com/­stampede/­docs
DeveloperApache Software Foundation8Kdata
Initial release20142016
Current release3.3.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java 7 VM
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, boolean, date, object_id
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.nono
Secondary indexesno
SQL infoSupport of SQLSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Supported programming languagesJava
Python
R
Scala
Server-side scripts infoStored proceduresno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoAccess rights for users and roles

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More resources
Spark SQLToroDB
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