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DBMS > Databricks vs. Ehcache vs. RDFox

System Properties Comparison Databricks vs. Ehcache vs. RDFox

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEhcache  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.A widely adopted Java cache with tiered storage optionsHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument store
Relational DBMS
Key-value 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
Score4.76
Rank#65  Overall
#8  Key-value stores
Score0.23
Rank#296  Overall
#24  Graph DBMS
#13  RDF stores
Websitewww.databricks.comwww.ehcache.orgwww.oxfordsemantic.tech
Technical documentationdocs.databricks.comwww.ehcache.org/­documentationdocs.oxfordsemantic.tech
DeveloperDatabricksTerracotta Inc, owned by Software AGOxford Semantic Technologies
Initial release201320092017
Current release3.10.0, March 20226.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedAll OS with a Java VMLinux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infoRDF schemas
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 indexesyesno
SQL infoSupport of SQLwith Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCacheRESTful HTTP API
SPARQL 1.1
Supported programming languagesPython
R
Scala
JavaC
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesno
Triggersyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Server
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta Serverreplication 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 ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoRoles, resources, and access types
More information provided by the system vendor
DatabricksEhcacheRDFox
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksEhcacheRDFox
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