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DBMS > Citus vs. DataFS vs. GeoMesa vs. PouchDB

System Properties Comparison Citus vs. DataFS vs. GeoMesa vs. PouchDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDataFS  Xexclude from comparisonGeoMesa  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.JavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSObject oriented DBMSSpatial DBMSDocument store
Secondary database modelsDocument storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitewww.citusdata.comnewdatabase.comwww.geomesa.orgpouchdb.com
Technical documentationdocs.citusdata.comdev.mobiland.com/­Overview.xspwww.geomesa.org/­documentation/­stable/­user/­index.htmlpouchdb.com/­guides
DeveloperMobiland AGCCRi and othersApache Software Foundation
Initial release2010201820142012
Current release8.1, December 20181.1.263, October 20225.0.0, May 20247.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache License 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaJavaScript
Server operating systemsLinuxWindowsserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesnoyesyes infovia views
SQL infoSupport of SQLyes infostandard, with numerous extensionsnonono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
Proprietary client DLL
WinRT client
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
VB.Net
JavaScript
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noView functions in JavaScript
Triggersyesno, except callback-events from server when changes happenednoyes
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemdepending on storage layerSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsdepending on storage layerMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on storage layerEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonodepending on storage layeryes
User concepts infoAccess controlfine grained access rights according to SQL-standardWindows-Profileyes infodepending on the DBMS used for storageno

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More resources
CitusDataFSGeoMesaPouchDB
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