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DBMS > PostGIS vs. Spark SQL vs. Transbase vs. WakandaDB

System Properties Comparison PostGIS vs. Spark SQL vs. Transbase vs. WakandaDB

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Editorial information provided by DB-Engines
NamePostGIS  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionSpatial extension of PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSpatial DBMSRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitepostgis.netspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.htmlwakanda.github.io
Technical documentationpostgis.net/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.htmlwakanda.github.io/­doc
DeveloperApache Software FoundationTransaction Software GmbHWakanda SAS
Initial release2005201419872012
Current release3.4.2, February 20243.5.0 ( 2.13), September 2023Transbase 8.3, 20222.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoGPL v2.0Open Source infoApache 2.0commercial infofree development licenseOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaC and C++C++, JavaScript
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
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 indexesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
RESTful HTTP API
Supported programming languagesJava
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functionsnoyesyes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on PostgreSQLnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID
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.nononono
User concepts infoAccess controlyes infobased on PostgreSQLnofine grained access rights according to SQL-standardyes

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More resources
PostGISSpark SQLTransbaseWakandaDB
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