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DBMS > AgensGraph vs. Badger vs. Quasardb vs. RDFox vs. Solr

System Properties Comparison AgensGraph vs. Badger vs. Quasardb vs. RDFox vs. Solr

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBadger  Xexclude from comparisonQuasardb  Xexclude from comparisonRDFox  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Distributed, high-performance timeseries databaseHigh performance knowledge graph and semantic reasoning engineA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMS
Relational DBMS
Key-value storeTime Series DBMSGraph DBMS
RDF store
Search engine
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitebitnine.net/­agensgraphgithub.com/­dgraph-io/­badgerquasar.aiwww.oxfordsemantic.techsolr.apache.org
Technical documentationbitnine.net/­documentationgodoc.org/­github.com/­dgraph-io/­badgerdoc.quasar.ai/­masterdocs.oxfordsemantic.techsolr.apache.org/­resources.html
DeveloperBitnine Global Inc.DGraph LabsquasardbOxford Semantic TechnologiesApache Software Foundation
Initial release20162017200920172006
Current release2.1, December 20183.14.1, January 20246.0, Septermber 20229.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC++C++Java
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemedepending on used data modelschema-freeschema-freeyes infoRDF schemasyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesnoyes infointeger and binaryyesyes infosupports customizable data types and automatic typing
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 indexesyesnoyes infowith tagsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnoSQL-like query languagenoSolr Parallel SQL Interface
APIs and other access methodsCypher Query Language
JDBC
HTTP APIRESTful HTTP API
SPARQL 1.1
Java API
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
Go.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
Java
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnonoJava plugins
Triggersnononoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replication with selectable replication factorreplication via a shared file systemyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trailRoles, resources, and access typesyes

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