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DBMS > dBASE vs. Firebird vs. Ignite vs. Spark SQL

System Properties Comparison dBASE vs. Firebird vs. Ignite vs. Spark SQL

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Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonFirebird  Xexclude from comparisonIgnite  Xexclude from comparisonSpark SQL  Xexclude from comparison
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.Firebird is an open source RDBMS forked from Borland's InterBaseApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.dbase.comwww.firebirdsql.orgignite.apache.orgspark.apache.org/­sql
Technical documentationwww.dbase.com/­support/­knowledgebasewww.firebirdsql.org/­en/­reference-manualsapacheignite.readme.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAsthon TateFirebird FoundationApache Software FoundationApache Software Foundation
Initial release19792000 infoAs fork of Borland's InterBase20152014
Current releasedBASE 2019, 20195.0.0, January 2024Apache Ignite 2.63.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicenseOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++, Java, .NetScala
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statements
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesdBase proprietary IDEC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.PSQLyes (compute grid and cache interceptors can be used instead)no
Triggersnoyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
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 DBMSACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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.yesno
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization conceptSecurity Hooks for custom implementationsno

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dBASEFirebirdIgniteSpark SQL
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