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DBMS > Firebird vs. GridDB vs. Warp 10

System Properties Comparison Firebird vs. GridDB vs. Warp 10

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonGridDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseScalable in-memory time series database optimized for IoT and Big DataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.45
Rank#31  Overall
#19  Relational DBMS
Score2.00
Rank#137  Overall
#11  Time Series DBMS
Score0.13
Rank#342  Overall
#32  Time Series DBMS
Websitewww.firebirdsql.orggriddb.netwww.warp10.io
Technical documentationwww.firebirdsql.org/­en/­reference-manualsdocs.griddb.netwww.warp10.io/­content/­02_Getting_started
DeveloperFirebird FoundationToshiba CorporationSenX
Initial release2000 infoAs fork of Borland's InterBase20132015
Current release5.0.0, January 20245.1, August 2022
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP API
Jupyter
WebSocket
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
Server-side scripts infoStored proceduresPSQLnoyes infoWarpScript
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelno
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users can be defined per databaseMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
FirebirdGridDBWarp 10
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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