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DBMS > Databricks vs. RDFox vs. SpatiaLite

System Properties Comparison Databricks vs. RDFox vs. SpatiaLite

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonRDFox  Xexclude from comparisonSpatiaLite  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 engineSpatial extension of SQLite
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Spatial DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websitewww.databricks.comwww.oxfordsemantic.techwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.databricks.comdocs.oxfordsemantic.techwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperDatabricksOxford Semantic TechnologiesAlessandro Furieri
Initial release201320172008
Current release6.0, Septermber 20225.0.0, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedLinux
macOS
Windows
server-less
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 SQLnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesPython
R
Scala
C
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesno
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesreplication via a shared file systemnone
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 setups
Foreign keys infoReferential integrityyes
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 typesno
More information provided by the system vendor
DatabricksRDFoxSpatiaLite
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksRDFoxSpatiaLite
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