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DBMS > Firebird vs. GBase vs. GridDB vs. OpenEdge vs. SQream DB

System Properties Comparison Firebird vs. GBase vs. GridDB vs. OpenEdge vs. SQream DB

Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonGBase  Xexclude from comparisonGridDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseAn analytical database for business intelligence with large customers in China.Scalable in-memory time series database optimized for IoT and Big DataApplication development environment with integrated database management systema GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.06
Rank#31  Overall
#19  Relational DBMS
Score1.04
Rank#190  Overall
#88  Relational DBMS
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Score3.75
Rank#88  Overall
#47  Relational DBMS
Score0.73
Rank#228  Overall
#105  Relational DBMS
Websitewww.firebirdsql.orgwww.gbase.cngriddb.netwww.progress.com/­openedgesqream.com
Technical documentationwww.firebirdsql.org/­en/­reference-manualsdocs.griddb.netdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.sqream.com
DeveloperFirebird FoundationToshiba CorporationProgress Software CorporationSQream Technologies
Initial release2000 infoAs fork of Borland's InterBase201319842017
Current release5.0.0, January 2024GBase 8a5.1, August 2022OpenEdge 12.2, March 20202022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicensecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercial
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++C++, CUDA, Haskell, Java, Scala
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes, ANSI Standard SQL Types
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 indexesyesyesyesno
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)yes infoclose to SQL 92yes
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPSQLnoyesuser defined functions in Python
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infosince Version 11.4horizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
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 controlUsers with fine-grained authorization conceptAccess rights for users can be defined per databaseUsers and groups
More information provided by the system vendor
FirebirdGBaseGridDBOpenEdgeSQream DB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
FirebirdGBaseGridDBOpenEdgeSQream DB
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