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DBMS > RDFox vs. Solr vs. Titan vs. YDB

System Properties Comparison RDFox vs. Solr vs. Titan vs. YDB

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Editorial information provided by DB-Engines
NameRDFox  Xexclude from comparisonSolr  Xexclude from comparisonTitan  Xexclude from comparisonYDB  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionHigh performance knowledge graph and semantic reasoning engineA widely used distributed, scalable search engine based on Apache LuceneTitan is a Graph DBMS optimized for distributed clusters.A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelGraph DBMS
RDF store
Search engineGraph DBMSDocument store
Relational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score42.91
Rank#24  Overall
#3  Search engines
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.oxfordsemantic.techsolr.apache.orggithub.com/­thinkaurelius/­titangithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.oxfordsemantic.techsolr.apache.org/­resources.htmlgithub.com/­thinkaurelius/­titan/­wikiydb.tech/­en/­docs
DeveloperOxford Semantic TechnologiesApache Software FoundationAurelius, owned by DataStaxYandex
Initial release2017200620122019
Current release6.0, Septermber 20229.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache license, version 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemsLinux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Unix
Windows
Linux
Data schemeyes infoRDF schemasyes infoDynamic Fields enables on-the-fly addition of new fieldsyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyesyes
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.yesno
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSolr Parallel SQL InterfacenoSQL-like query language (YQL)
APIs and other access methodsRESTful HTTP API
SPARQL 1.1
Java API
RESTful HTTP/JSON API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
Java
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Clojure
Java
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresJava pluginsyesno
Triggersyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesreplication via a shared file systemyesyesActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRoles, resources, and access typesyesUser authentification and security via Rexster Graph ServerAccess rights defined for Yandex Cloud users

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More resources
RDFoxSolrTitanYDB
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