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DBMS > DataFS vs. GridGain vs. IBM Cloudant vs. PouchDB

System Properties Comparison DataFS vs. GridGain vs. IBM Cloudant vs. PouchDB

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGridGain  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionAll 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.GridGain is an in-memory computing platform, built on Apache IgniteDatabase as a Service offering based on Apache CouchDBJavaScript DBMS with an API inspired by CouchDB
Primary database modelObject oriented DBMSKey-value store
Relational DBMS
Document storeDocument store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score2.34
Rank#112  Overall
#21  Document stores
Websitenewdatabase.comwww.gridgain.comwww.ibm.com/­products/­cloudantpouchdb.com
Technical documentationdev.mobiland.com/­Overview.xspwww.gridgain.com/­docs/­index.htmlcloud.ibm.com/­docs/­Cloudantpouchdb.com/­guides
DeveloperMobiland AGGridGain Systems, Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software Foundation
Initial release2018200720102012
Current release1.1.263, October 2022GridGain 8.5.17.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetErlangJavaScript
Server operating systemsWindowsLinux
OS X
Solaris
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.noyesnono
Secondary indexesnoyesyesyes infovia views
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP/JSON APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C#
C++
VB.Net
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
JavaScript
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)View functions (Map-Reduce) in JavaScriptView functions in JavaScript
Triggersno, except callback-events from server when changes happenedyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic locking
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.noyesnoyes
User concepts infoAccess controlWindows-ProfileSecurity Hooks for custom implementationsAccess rights for users can be defined per databaseno

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More resources
DataFSGridGainIBM CloudantPouchDB
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