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DBMS > Kinetica vs. Postgres-XL vs. PouchDB vs. Quasardb vs. YottaDB

System Properties Comparison Kinetica vs. Postgres-XL vs. PouchDB vs. Quasardb vs. YottaDB

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresJavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries databaseA fast and solid embedded Key-value store
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitewww.kinetica.comwww.postgres-xl.orgpouchdb.comquasar.aiyottadb.com
Technical documentationdocs.kinetica.comwww.postgres-xl.org/­documentationpouchdb.com/­guidesdoc.quasar.ai/­masteryottadb.com/­resources/­documentation
DeveloperKineticaApache Software FoundationquasardbYottaDB, LLC
Initial release20122014 infosince 2012, originally named StormDB201220092001
Current release7.1, August 202110 R1, October 20187.1.1, June 20193.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licenseOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CJavaScriptC++C
Server operating systemsLinuxLinux
macOS
server-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
Docker
Linux
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infointeger and binaryno
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.noyes infoXML type, but no XML query functionalitynonono
Secondary indexesyesyesyes infovia viewsyes infowith tagsno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infodistributed, parallel query executionnoSQL-like query languageby using the Octo plugin
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsView functions in JavaScriptno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal 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 factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyesyes infoTransient modeyes
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trailUsers and groups based on OS-security mechanisms

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More resources
KineticaPostgres-XLPouchDBQuasardbYottaDB
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