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DBMS > Firebird vs. GBase vs. OpenEdge vs. Spark SQL vs. Trafodion

System Properties Comparison Firebird vs. GBase vs. OpenEdge vs. Spark SQL vs. Trafodion

Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonGBase  Xexclude from comparisonOpenEdge  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Application development environment with integrated database management systemSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.firebirdsql.orgwww.gbase.cnwww.progress.com/­openedgespark.apache.org/­sqltrafodion.apache.org
Technical documentationwww.firebirdsql.org/­en/­reference-manualsdocumentation.progress.com/­output/­ua/­OpenEdge_latestspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperFirebird FoundationGeneral Data Technology Co., Ltd.Progress Software CorporationApache Software FoundationApache Software Foundation, originally developed by HP
Initial release2000 infoAs fork of Borland's InterBase2004198420142014
Current release5.0.0, January 2024GBase 8a, GBase 8s, GBase 8cOpenEdge 12.2, March 20203.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicensecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C, Java, PythonScalaC++, Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesyesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesStandard with numerous extensionsyes infoclose to SQL 92SQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
ADO.NET
C API
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#Progress proprietary ABL (Advanced Business Language)Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresPSQLuser defined functionsyesnoJava Stored Procedures
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioninghorizontal partitioning infosince Version 11.4yes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlUsers with fine-grained authorization conceptyesUsers and groupsnofine grained access rights according to SQL-standard

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More resources
FirebirdGBaseOpenEdgeSpark SQLTrafodion
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