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DBMS > Databricks vs. RDFox vs. VelocityDB

System Properties Comparison Databricks vs. RDFox vs. VelocityDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonRDFox  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.High performance knowledge graph and semantic reasoning engineA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Graph DBMS
Object oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.databricks.comwww.oxfordsemantic.techvelocitydb.com
Technical documentationdocs.databricks.comdocs.oxfordsemantic.techvelocitydb.com/­UserGuide
DeveloperDatabricksOxford Semantic TechnologiesVelocityDB Inc
Initial release201320172011
Current release6.0, Septermber 20227.x
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#
Server operating systemshostedLinux
macOS
Windows
Any that supports .NET
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyes
SQL infoSupport of SQLwith Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
.Net
Supported programming languagesPython
R
Scala
C
Java
.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesno
TriggersCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRoles, resources, and access typesBased on Windows Authentication
More information provided by the system vendor
DatabricksRDFoxVelocityDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksRDFoxVelocityDB
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