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DBMS > DataFS vs. Kdb vs. PouchDB vs. Quasardb

System Properties Comparison DataFS vs. Kdb vs. PouchDB vs. Quasardb

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonKdb  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  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.High performance Time Series DBMSJavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries database
Primary database modelObject oriented DBMSTime Series DBMS
Vector DBMS
Document storeTime Series DBMS
Secondary database modelsGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitenewdatabase.comkx.compouchdb.comquasar.ai
Technical documentationdev.mobiland.com/­Overview.xspcode.kx.compouchdb.com/­guidesdoc.quasar.ai/­master
DeveloperMobiland AGKx Systems, a division of First Derivatives plcApache Software Foundationquasardb
Initial release20182000 infokdb was released 2000, kdb+ in 200320122009
Current release1.1.263, October 20223.6, May 20187.1.1, June 20193.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageqJavaScriptC++
Server operating systemsWindowsLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
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 dateyesyesnoyes infointeger and binary
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 indexesnoyes infotable attribute 'grouped'yes infovia viewsyes infowith tags
SQL infoSupport of SQLnoSQL-like query language (q)noSQL-like query language
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsView functions in JavaScriptno
Triggersno, except callback-events from server when changes happenedyes infowith viewsyesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemhorizontal partitioningSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoTransient mode
User concepts infoAccess controlWindows-Profilerights management via user accountsnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
DataFSKdbPouchDBQuasardb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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DataFSKdbPouchDBQuasardb
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