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DBMS > AntDB vs. IBM Cloudant vs. PostGIS vs. Spark SQL

System Properties Comparison AntDB vs. IBM Cloudant vs. PostGIS vs. Spark SQL

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonPostGIS  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleDatabase as a Service offering based on Apache CouchDBSpatial extension of PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument storeSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#317  Overall
#141  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlwww.ibm.com/­products/­cloudantpostgis.netspark.apache.org/­sql
Technical documentationcloud.ibm.com/­docs/­Cloudantpostgis.net/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAsiaInfo Technologies LimitedIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software Foundation
Initial release201020052014
Current release3.4.2, February 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL v2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangCScala
Server operating systemshostedLinux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.noyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL2016 compliantnoyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptuser defined functionsno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
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.yesnonono
User concepts infoAccess controlAccess rights for users can be defined per databaseyes infobased on PostgreSQLno

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More resources
AntDBIBM CloudantPostGISSpark SQL
DB-Engines blog posts

AntDB: Answer to Database Evolution - Hyperconverged All-in-One Streaming Engine
22 June 2023,  Bei Mo, AntDB (sponsor) 

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Spatial database management systems
6 April 2021, Matthias Gelbmann

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