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DBMS > EXASOL vs. RDFox vs. Rockset vs. Spark SQL

System Properties Comparison EXASOL vs. RDFox vs. Rockset vs. Spark SQL

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonRDFox  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.High performance knowledge graph and semantic reasoning engineA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSGraph DBMS
RDF store
Document storeRelational DBMS
Secondary database modelsRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.82
Rank#212  Overall
#36  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.exasol.comwww.oxfordsemantic.techrockset.comspark.apache.org/­sql
Technical documentationwww.exasol.com/­resourcesdocs.oxfordsemantic.techdocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperExasolOxford Semantic TechnologiesRocksetApache Software Foundation
Initial release2000201720192014
Current release6.0, Septermber 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Scala
Server operating systemsLinux
macOS
Windows
hostedLinux
OS X
Windows
Data schemeyesyes infoRDF schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesdynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesyesall fields are automatically indexedno
SQL infoSupport of SQLyesnoRead-only SQL queries, including JOINsSQL-like DML and DDL statements
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP API
SPARQL 1.1
HTTP RESTJDBC
ODBC
Supported programming languagesJava
Lua
Python
R
C
Java
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesreplication via a shared file systemyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardRoles, resources, and access typesAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
EXASOLRDFoxRocksetSpark SQL
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