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DBMS > Apache Spark (SQL) vs. dBASE vs. IBM Db2

System Properties Comparison Apache Spark (SQL) vs. dBASE vs. IBM Db2

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisondBASE  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  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.Common in IBM host environments, 2 different versions for host and Windows/Linux
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDB
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.78
Rank#34  Overall
#20  Relational DBMS
Score8.32
Rank#43  Overall
#27  Relational DBMS
Score121.74
Rank#9  Overall
#6  Relational DBMS
Websitespark.apache.org/­sqlwww.dbase.comwww.ibm.com/­products/­db2
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.dbase.com/­support/­knowledgebasewww.ibm.com/­docs/­en/­db2
DeveloperApache Software FoundationAsthon TateIBM
Initial release201419791983 infohost version
Current release3.5.0 ( 2.13), September 2023dBASE 2019, 201912.1, October 2016
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree version is available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC and C++
Server operating systemsLinux
OS X
Windows
DOS infodBase Classic
Windows infodBase Pro
AIX
HP-UX
Linux
Solaris
Windows
z/OS
Data schemeyesyesyes
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.no
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
none infoThe IDE can access other DBMS or ODBC-sources.ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Supported programming languagesJava
Python
R
Scala
dBase proprietary IDEC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.yes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CorenoneSharding infoonly with Windows/Unix/Linux Version
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infowith separate tools (MQ, InfoSphere)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Foreign keys infoReferential integritynoyesyes
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 DBMSACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.no
User concepts infoAccess controlnoAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Apache Spark (SQL)dBASEIBM Db2 infoformerly named DB2 or IBM Database 2
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