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DBMS > EventStoreDB vs. RDFox vs. Spark SQL vs. SwayDB

System Properties Comparison EventStoreDB vs. RDFox vs. Spark SQL vs. SwayDB

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonRDFox  Xexclude from comparisonSpark SQL  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.High performance knowledge graph and semantic reasoning engineSpark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelEvent StoreGraph DBMS
RDF store
Relational DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitewww.eventstore.comwww.oxfordsemantic.techspark.apache.org/­sqlswaydb.simer.au
Technical documentationdevelopers.eventstore.comdocs.oxfordsemantic.techspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperEvent Store LimitedOxford Semantic TechnologiesApache Software FoundationSimer Plaha
Initial release2012201720142018
Current release21.2, February 20216.0, Septermber 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaScala
Server operating systemsLinux
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nono
Secondary indexesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP API
SPARQL 1.1
JDBC
ODBC
Supported programming languagesC
Java
Java
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesreplication via a shared file systemnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of operations
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.yesnoyes
User concepts infoAccess controlRoles, resources, and access typesnono

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More resources
EventStoreDBRDFoxSpark SQLSwayDB
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