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DBMS > gStore vs. PouchDB vs. Prometheus vs. Quasardb

System Properties Comparison gStore vs. PouchDB vs. Prometheus vs. Quasardb

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Editorial information provided by DB-Engines
NamegStore  Xexclude from comparisonPouchDB  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA native Graph DBMS to store and maintain very large RDF datasets.JavaScript DBMS with an API inspired by CouchDBOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelGraph DBMS
RDF store
Document storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#367  Overall
#37  Graph DBMS
#18  RDF stores
Score2.18
Rank#114  Overall
#21  Document stores
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websiteen.gstore.cnpouchdb.comprometheus.ioquasar.ai
Technical documentationen.gstore.cn/­#/­enDocspouchdb.com/­guidesprometheus.io/­docsdoc.quasar.ai/­master
DeveloperApache Software Foundationquasardb
Initial release2016201220152009
Current release1.2, November 20237.1.1, June 20193.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoBSDOpen SourceOpen Source infoApache 2.0commercial 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 languageC++JavaScriptGoC++
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
BSD
Linux
OS X
Windows
Data schemeschema-free and OWL/RDFS-schema supportschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoNumeric data onlyyes 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.nonono infoImport of XML data possibleno
Secondary indexesyes infovia viewsnoyes infowith tags
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsHTTP API
SPARQL 1.1
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP/JSON APIHTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
PHP
Python
JavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesView functions in JavaScriptnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infowith a proxy-based framework, named couchdb-loungeShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoTransient mode
User concepts infoAccess controlUsers, roles and permissions, Role-Based Access Control (RBAC) supportednonoCryptographically strong user authentication and audit trail

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More resources
gStorePouchDBPrometheusQuasardb
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