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DBMS > PostGIS vs. Spark SQL vs. Trafodion

System Properties Comparison PostGIS vs. Spark SQL vs. Trafodion

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Editorial information provided by DB-Engines
NamePostGIS  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionSpatial extension of PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.87
Rank#27  Overall
#1  Spatial DBMS
Score22.94
Rank#34  Overall
#20  Relational DBMS
Score0.45
Rank#245  Overall
#115  Relational DBMS
Websitepostgis.netspark.apache.org/­sqltrafodion.apache.org
Technical documentationpostgis.net/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org
DeveloperApache Software FoundationApache Software Foundation, originally developed by HP
Initial release200520142014
Current release3.1.4, September 20213.2.0, October 20212.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoGPL v2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaC++, Java
Server operating systemsLinux
OS X
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesJava
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored Procedures
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLyes, utilizing Spark CoreSharding
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 HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlyes infobased on PostgreSQLnofine grained access rights according to SQL-standard

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More resources
PostGISSpark SQLTrafodion
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