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DBMS > Badger vs. GraphDB vs. LokiJS vs. Microsoft Azure SQL Database

System Properties Comparison Badger vs. GraphDB vs. LokiJS vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.In-memory JavaScript DBMSDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelKey-value storeGraph DBMS
RDF store
Document storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score2.76
Rank#99  Overall
#8  Graph DBMS
#4  RDF stores
Score0.44
Rank#256  Overall
#40  Document stores
Score72.95
Rank#16  Overall
#11  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.ontotext.comgithub.com/­techfort/­LokiJSazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergraphdb.ontotext.com/­documentationtechfort.github.io/­LokiJSdocs.microsoft.com/­en-us/­azure/­azure-sql
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperDGraph LabsOntotextMicrosoft
Initial release2017200020142010
Current release10.4, October 2023V12
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoSome plugins of GraphDB Workbench are open sourcedOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJavaScriptC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)hosted
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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.nononoyes
Secondary indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infovia viewsyes
SQL infoSupport of SQLnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnoyes
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JavaScript APIADO.NET
JDBC
ODBC
Supported programming languagesGo.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnowell-defined plugin interfaces; JavaScript server-side extensibilityView functions in JavaScriptTransact SQL
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnoneyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)noneImmediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoatomic operations within a single collection possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.nofine grained access rights according to SQL-standard
More information provided by the system vendor
BadgerGraphDB infoformer name: OWLIMLokiJSMicrosoft Azure SQL Database infoformerly SQL Azure
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
News

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Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success
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16 August 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BadgerGraphDB infoformer name: OWLIMLokiJSMicrosoft Azure SQL Database infoformerly SQL Azure
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