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DBMS > Apache Spark (SQL) vs. OpenEdge vs. RDFox

System Properties Comparison Apache Spark (SQL) vs. OpenEdge vs. RDFox

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonOpenEdge  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingApplication development environment with integrated database management systemHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.62
Rank#29  Overall
#18  Relational DBMS
Score3.49
Rank#75  Overall
#39  Relational DBMS
Score0.24
Rank#299  Overall
#24  Graph DBMS
#12  RDF stores
Websitespark.apache.org/­sqlwww.progress.com/­openedgewww.oxfordsemantic.tech
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.oxfordsemantic.tech
DeveloperApache Software FoundationProgress Software CorporationOxford Semantic Technologies
Initial release201419842017
Current release3.5.0 ( 2.13), September 2023OpenEdge 12.2, March 20206.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyes
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.noyes
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoclose to SQL 92no
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
SPARQL 1.1
Supported programming languagesJava
Python
R
Scala
Progress proprietary ABL (Advanced Business Language)C
Java
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationreplication 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 setups
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.nonoyes
User concepts infoAccess controlnoUsers and groupsRoles, resources, and access types

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More resources
Apache Spark (SQL)OpenEdgeRDFox
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