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DBMS > RDFox vs. Teradata Aster vs. TimescaleDB vs. VelocityDB

System Properties Comparison RDFox vs. Teradata Aster vs. TimescaleDB vs. VelocityDB

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Editorial information provided by DB-Engines
NameRDFox  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTimescaleDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHigh performance knowledge graph and semantic reasoning enginePlatform for big data analytics on multistructured data sources and typesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsRelational DBMSRelational 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
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.oxfordsemantic.techwww.timescale.comvelocitydb.com
Technical documentationdocs.oxfordsemantic.techdocs.timescale.comvelocitydb.com/­UserGuide
DeveloperOxford Semantic TechnologiesTeradataTimescaleVelocityDB Inc
Initial release2017200520172011
Current release6.0, Septermber 20222.13.0, November 20237.x
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC#
Server operating systemsLinux
macOS
Windows
LinuxLinux
OS X
Windows
Any that supports .NET
Data schemeyes infoRDF schemasFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyesyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.yes infoin Aster File Storeyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyes infofull PostgreSQL SQL syntaxno
APIs and other access methodsRESTful HTTP API
SPARQL 1.1
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
Supported programming languagesC
Java
C
C#
C++
Java
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
.Net
Server-side scripts infoStored proceduresR packagesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
TriggersnoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesreplication via a shared file systemyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoSQL Map-Reduce Frameworknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlRoles, resources, and access typesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
RDFoxTeradata AsterTimescaleDBVelocityDB
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