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DBMS > Apache Spark (SQL) vs. dBASE

System Properties Comparison Apache Spark (SQL) vs. dBASE

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisondBASE  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.73
Rank#35  Overall
#20  Relational DBMS
Score9.00
Rank#43  Overall
#27  Relational DBMS
Websitespark.apache.org/­sqlwww.dbase.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.dbase.com/­support/­knowledgebase
DeveloperApache Software FoundationAsthon Tate
Initial release20141979
Current release3.5.0 ( 2.13), September 2023dBASE 2019, 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemsLinux
OS X
Windows
DOS infodBase Classic
Windows infodBase Pro
Data schemeyesyes
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.no
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
none infoThe IDE can access other DBMS or ODBC-sources.
Supported programming languagesJava
Python
R
Scala
dBase proprietary IDE
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infonot for dBase internal data, but IDE does support transactions when accessing external DBMS
Concurrency infoSupport for concurrent manipulation of datayesyes
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.no
User concepts infoAccess controlnoAccess rights for users and roles

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Apache Spark (SQL)dBASE
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