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DBMS > dBASE vs. Google BigQuery vs. SQLite vs. Trafodion

System Properties Comparison dBASE vs. Google BigQuery vs. SQLite vs. Trafodion

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Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonSQLite  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptiondBase 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.Large scale data warehouse service with append-only tablesWidely used embeddable, in-process RDBMSTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websitewww.dbase.comcloud.google.com/­bigquerywww.sqlite.orgtrafodion.apache.org
Technical documentationwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigquery/­docswww.sqlite.org/­docs.htmltrafodion.apache.org/­documentation.html
DeveloperAsthon TateGoogleDwayne Richard HippApache Software Foundation, originally developed by HP
Initial release1979201020002014
Current releasedBASE 2019, 20193.46.0  (23 May 2024), May 20242.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoPublic DomainOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++, Java
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
hostedserver-lessLinux
Data schemeyesyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.yes
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoyesyes infoSQL-92 is not fully supportedyes
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.RESTful HTTP/JSON APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
ADO.NET
JDBC
ODBC
Supported programming languagesdBase proprietary IDE.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.user defined functions infoin JavaScriptnoJava Stored Procedures
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSno infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyes
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.noyesno
User concepts infoAccess controlAccess rights for users and rolesAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nofine grained access rights according to SQL-standard

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