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DBMS > DataFS vs. Hive vs. Kinetica vs. PouchDB

System Properties Comparison DataFS vs. Hive vs. Kinetica vs. PouchDB

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonHive  Xexclude from comparisonKinetica  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.data warehouse software for querying and managing large distributed datasets, built on HadoopFully vectorized database across both GPUs and CPUsJavaScript DBMS with an API inspired by CouchDB
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsGraph DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitenewdatabase.comhive.apache.orgwww.kinetica.compouchdb.com
Technical documentationdev.mobiland.com/­Overview.xspcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.kinetica.compouchdb.com/­guides
DeveloperMobiland AGApache Software Foundation infoinitially developed by FacebookKineticaApache Software Foundation
Initial release2018201220122012
Current release1.1.263, October 20223.1.3, April 20227.1, August 20217.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++JavaScript
Server operating systemsWindowsAll OS with a Java VMLinuxserver-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)yesyesschema-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.nonono
Secondary indexesnoyesyesyes infovia views
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like DML and DDL statementsno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C#
C++
VB.Net
C++
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsView functions in JavaScript
Triggersno, except callback-events from server when changes happenednoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
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 nodesselectable replication factorSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlWindows-ProfileAccess rights for users, groups and rolesAccess rights for users and roles on table levelno

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DataFSHiveKineticaPouchDB
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