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DBMS > CouchDB vs. Databricks vs. PostGIS

System Properties Comparison CouchDB vs. Databricks vs. PostGIS

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Spatial extension of PostgreSQL
Primary database modelDocument storeDocument store
Relational DBMS
Spatial DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitecouchdb.apache.orgwww.databricks.compostgis.net
Technical documentationdocs.couchdb.org/­en/­stabledocs.databricks.compostgis.net/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricks
Initial release200520132005
Current release3.3.3, December 20233.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hosted
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or datenoyes
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.noyesyes
Secondary indexesyes infovia viewsyesyes
SQL infoSupport of SQLnowith Databricks SQLyes
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Python
R
Scala
Server-side scripts infoStored proceduresView functions in JavaScriptuser defined functions and aggregatesuser defined functions
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0yes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes
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 controlAccess rights for users can be defined per databaseyes infobased on PostgreSQL
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksPostGIS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksPostGIS
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