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DBMS > RDFox vs. SingleStore vs. Titan vs. VelocityDB

System Properties Comparison RDFox vs. SingleStore vs. Titan vs. VelocityDB

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Editorial information provided by DB-Engines
NameRDFox  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTitan  Xexclude from comparisonVelocityDB  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 engineMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeTitan 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)
Primary database modelGraph DBMS
RDF store
Relational DBMSGraph DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector 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
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.oxfordsemantic.techwww.singlestore.comgithub.com/­thinkaurelius/­titanvelocitydb.com
Technical documentationdocs.oxfordsemantic.techdocs.singlestore.comgithub.com/­thinkaurelius/­titan/­wikivelocitydb.com/­UserGuide
DeveloperOxford Semantic TechnologiesSingleStore Inc.Aurelius, owned by DataStaxVelocityDB Inc
Initial release2017201320122011
Current release6.0, Septermber 20228.5, January 20247.x
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoApache license, version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++C++, GoJavaC#
Server operating systemsLinux
macOS
Windows
Linux info64 bit version requiredLinux
OS X
Unix
Windows
Any that supports .NET
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysnono
APIs and other access methodsRESTful HTTP API
SPARQL 1.1
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
.Net
Supported programming languagesC
Java
Bash
C
C#
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
.Net
Server-side scripts infoStored proceduresyesyesno
TriggersnoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infohash partitioningyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesreplication via a shared file systemSource-replica replication infostores two copies of each physical data partition on two separate nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan define user-defined aggregate functions for map-reduce-style calculationsyes 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 setupsImmediate 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 dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes 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.yesyesyes
User concepts infoAccess controlRoles, resources, and access typesFine grained access control via users, groups and rolesUser authentification and security via Rexster Graph ServerBased on Windows Authentication
More information provided by the system vendor
RDFoxSingleStore infoformer name was MemSQLTitanVelocityDB
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
RDFoxSingleStore infoformer name was MemSQLTitanVelocityDB
DB-Engines blog posts

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9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

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