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DBMS > Spark SQL vs. STSdb vs. Trafodion vs. VelocityDB

System Properties Comparison Spark SQL vs. STSdb vs. Trafodion vs. VelocityDB

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonTrafodion  Xexclude from comparisonVelocityDB  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodTransactional SQL-on-Hadoop DBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSKey-value storeRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Score0.11
Rank#347  Overall
#35  Graph DBMS
#15  Object oriented DBMS
Websitespark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4trafodion.apache.orgvelocitydb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.htmlvelocitydb.com/­UserGuide
DeveloperApache Software FoundationSTS Soft SCApache Software Foundation, originally developed by HPVelocityDB Inc
Initial release2014201120142011
Current release3.5.0 ( 2.13), September 20234.0.8, September 20152.3.0, February 20197.x
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC#C++, JavaC#
Server operating systemsLinux
OS X
Windows
WindowsLinuxAny that supports .NET
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)yesyes
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 indexesnonoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesno
APIs and other access methodsJDBC
ODBC
.NET Client APIADO.NET
JDBC
ODBC
.Net
Supported programming languagesJava
Python
R
Scala
C#
Java
All languages supporting JDBC/ODBC/ADO.Net.Net
Server-side scripts infoStored proceduresnonoJava Stored Proceduresno
TriggersnononoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CorenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.nonoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
Spark SQLSTSdbTrafodionVelocityDB
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