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DBMS > RDF4J vs. Titan vs. TypeDB vs. VoltDB

System Properties Comparison RDF4J vs. Titan vs. TypeDB vs. VoltDB

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Editorial information provided by DB-Engines
NameRDF4J infoformerly known as Sesame  Xexclude from comparisonTitan  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonVoltDB  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.
DescriptionRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Titan is a Graph DBMS optimized for distributed clusters.TypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRDF storeGraph DBMSGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.70
Rank#230  Overall
#20  Graph DBMS
#8  Object oriented DBMS
#106  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websiterdf4j.orggithub.com/­thinkaurelius/­titantypedb.comwww.voltdb.com
Technical documentationrdf4j.org/­documentationgithub.com/­thinkaurelius/­titan/­wikitypedb.com/­docsdocs.voltdb.com
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Aurelius, owned by DataStaxVaticleVoltDB Inc.
Initial release2004201220162010
Current release2.28.3, June 202411.3, April 2022
License infoCommercial or Open SourceOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache license, version 2.0Open Source infoGPL Version 3, commercial licenses availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJava, C++
Server operating systemsLinux
OS X
Unix
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Linux
OS X infofor development
Data schemeyes infoRDF Schemasyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnononoyes infoonly a subset of SQL 99
APIs and other access methodsJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesJava
PHP
Python
Clojure
Java
Python
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesyesnoJava
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneyes infovia pluggable storage backendsnoSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSynchronous replication via raftMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphno infosubstituted by the relationship featureno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoIsolation support depends on the API usedACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyes infoin-memory storage is supported as wellyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoUser authentification and security via Rexster Graph Serveryes infoat REST API level; other APIs in progressUsers and roles with access to stored procedures
More information provided by the system vendor
RDF4J infoformerly known as SesameTitanTypeDB infoformerly named GraknVoltDB
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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RDF4J infoformerly known as SesameTitanTypeDB infoformerly named GraknVoltDB
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