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

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

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Editorial information provided by DB-Engines
NamePostGIS  Xexclude from comparisonSpark SQL  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.
DescriptionSpatial extension of PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelSpatial DBMSRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.72
Rank#29  Overall
#1  Spatial DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Score0.08
Rank#362  Overall
#38  Graph DBMS
#15  Object oriented DBMS
Websitepostgis.netspark.apache.org/­sqltrafodion.apache.orgvelocitydb.com
Technical documentationpostgis.net/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.htmlvelocitydb.com/­UserGuide
DeveloperApache Software FoundationApache Software Foundation, originally developed by HPVelocityDB Inc
Initial release2005201420142011
Current release3.4.2, February 20243.5.0 ( 2.13), September 20232.3.0, February 20197.x
License infoCommercial or Open SourceOpen Source infoGPL v2.0Open Source infoApache 2.0Open 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 languageCScalaC++, JavaC#
Server operating systemsLinux
OS X
Windows
LinuxAny that supports .NET
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.yesnonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
.Net
Supported programming languagesJava
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored Proceduresno
TriggersyesnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLyes, utilizing Spark CoreShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on PostgreSQLnoneyes, 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.nononoyes
User concepts infoAccess controlyes infobased on PostgreSQLnofine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
PostGISSpark SQLTrafodionVelocityDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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