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DBMS > Databricks vs. EventStoreDB vs. RDFox

System Properties Comparison Databricks vs. EventStoreDB vs. RDFox

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEventStoreDB  Xexclude from comparisonRDFox  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.Industrial-strength, open-source database solution built from the ground up for event sourcing.High performance knowledge graph and semantic reasoning engine
Primary database modelDocument store
Relational DBMS
Event StoreGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score85.60
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score1.08
Rank#177  Overall
#1  Event Stores
Score0.23
Rank#296  Overall
#24  Graph DBMS
#13  RDF stores
Websitewww.databricks.comwww.eventstore.comwww.oxfordsemantic.tech
Technical documentationdocs.databricks.comdevelopers.eventstore.comdocs.oxfordsemantic.tech
DeveloperDatabricksEvent Store LimitedOxford Semantic Technologies
Initial release201320122017
Current release21.2, February 20216.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux
Windows
Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infoRDF schemas
Typing infopredefined data types such as float or dateyes
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
Secondary indexesyes
SQL infoSupport of SQLwith Databricks SQLno
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 aggregates
Replication methods infoMethods for redundantly storing data on multiple nodesyesreplication via a shared file system
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRoles, resources, and access types
More information provided by the system vendor
DatabricksEventStoreDBRDFox
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEventStoreDBRDFox
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