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DBMS > Stardog vs. Titan vs. VelocityDB vs. VoltDB

System Properties Comparison Stardog vs. Titan vs. VelocityDB vs. VoltDB

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Editorial information provided by DB-Engines
NameStardog  Xexclude from comparisonTitan  Xexclude from comparisonVelocityDB  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.
DescriptionEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTitan is a Graph DBMS optimized for distributed clusters.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)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 modelGraph DBMS
RDF store
Graph DBMSGraph DBMS
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitewww.stardog.comgithub.com/­thinkaurelius/­titanvelocitydb.comwww.voltdb.com
Technical documentationdocs.stardog.comgithub.com/­thinkaurelius/­titan/­wikivelocitydb.com/­UserGuidedocs.voltdb.com
DeveloperStardog-UnionAurelius, owned by DataStaxVelocityDB IncVoltDB Inc.
Initial release2010201220112010
Current release7.3.0, May 20207.x11.3, April 2022
License infoCommercial or Open Sourcecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache license, version 2.0commercialOpen 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 languageJavaJavaC#Java, C++
Server operating systemsLinux
macOS
Windows
Linux
OS X
Unix
Windows
Any that supports .NETLinux
OS X infofor development
Data schemeschema-free and OWL/RDFS-schema supportyesyesyes
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 infoImport/export of XML data possibleno
Secondary indexesyes infosupports real-time indexing in full-text and geospatialyesyesyes
SQL infoSupport of SQLYes, compatible with all major SQL variants through dedicated BI/SQL Servernonoyes infoonly a subset of SQL 99
APIs and other access methodsGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
.NetJava API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Clojure
Java
Python
.NetC#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregates, HTTP Server extensions in JavayesnoJava
Triggersyes infovia event handlersyesCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes infovia pluggable storage backendsShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in HA-ClusteryesMulti-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 systemImmediate Consistency in HA-ClusterEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsyes infoRelationships in graphnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID 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 persistentyesyes 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.yesyes
User concepts infoAccess controlAccess rights for users and rolesUser authentification and security via Rexster Graph ServerBased on Windows AuthenticationUsers and roles with access to stored procedures

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More resources
StardogTitanVelocityDBVoltDB
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Recent citations in the news

Amazon DynamoDB Storage Backend for Titan: Distributed Graph Database | Amazon Web Services
24 August 2015, AWS Blog

Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads
20 August 2015, All Things Distributed

JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

DSE Graph review: Graph database does double duty
14 November 2019, InfoWorld

Database Deep Dives: JanusGraph
8 August 2019, IBM

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31 August 2021, PR Newswire

VoltDB Turns to Real-Time Analytics with NewSQL Database
30 January 2014, Datanami

VoltDB Upgrades Power, Security of Its In-Memory Database
1 February 2017, eWeek

VoltDB Adds Geospatial Support, Cross-Site Replication
28 January 2016, The New Stack

provided by Google News



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