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DBMS > dBASE vs. FoundationDB vs. Linter vs. Solr

System Properties Comparison dBASE vs. FoundationDB vs. Linter vs. Solr

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Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonFoundationDB  Xexclude from comparisonLinter  Xexclude from comparisonSolr  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the 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.Ordered key-value store. Core features are complimented by layers.RDBMS for high security requirementsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSSearch engine
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.dbase.comgithub.com/­apple/­foundationdblinter.rusolr.apache.org
Technical documentationwww.dbase.com/­support/­knowledgebaseapple.github.io/­foundationdbsolr.apache.org/­resources.html
DeveloperAsthon TateFoundationDBrelex.ruApache Software Foundation
Initial release1979201319902006
Current releasedBASE 2019, 20196.2.28, November 20209.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++Java
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-free infosome layers support schemasyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyes infosupports customizable data types and automatic typing
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 indexesyesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnosupported in specific SQL layer onlyyesSolr Parallel SQL Interface
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Java API
RESTful HTTP/JSON API
Supported programming languagesdBase proprietary IDE.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.in SQL-layer onlyyes infoproprietary syntax with the possibility to convert from PL/SQLJava plugins
Triggersnonoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlyyesno
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 DBMSACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standardyes

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dBASEFoundationDBLinterSolr
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