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DBMS > Lovefield vs. Microsoft Azure Table Storage vs. PouchDB vs. Quasardb vs. RDFox

System Properties Comparison Lovefield vs. Microsoft Azure Table Storage vs. PouchDB vs. Quasardb vs. RDFox

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptA Wide Column Store for rapid development using massive semi-structured datasetsJavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries databaseHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSWide column storeDocument storeTime Series DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score2.34
Rank#112  Overall
#21  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitegoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­storage/­tablespouchdb.comquasar.aiwww.oxfordsemantic.tech
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdpouchdb.com/­guidesdoc.quasar.ai/­masterdocs.oxfordsemantic.tech
DeveloperGoogleMicrosoftApache Software FoundationquasardbOxford Semantic Technologies
Initial release20142012201220092017
Current release2.1.12, February 20177.1.1, June 20193.14.1, January 20246.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaScriptC++C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihostedserver-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesschema-freeschema-freeschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesnoyes infointeger and binaryyes
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.nononono
Secondary indexesyesnoyes infovia viewsyes infowith tags
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternnonoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
HTTP APIRESTful HTTP API
SPARQL 1.1
Supported programming languagesJavaScript.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
Java
Server-side scripts infoStored proceduresnonoView functions in JavaScriptno
TriggersUsing read-only observersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factorreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes 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 infousing MemoryDBnoyesyes infoTransient modeyes
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesnoCryptographically strong user authentication and audit trailRoles, resources, and access types

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More resources
LovefieldMicrosoft Azure Table StoragePouchDBQuasardbRDFox
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