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DBMS > Databend vs. Firebird vs. GridDB vs. IBM Cloudant

System Properties Comparison Databend vs. Firebird vs. GridDB vs. IBM Cloudant

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonFirebird  Xexclude from comparisonGridDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityFirebird is an open source RDBMS forked from Borland's InterBaseScalable in-memory time series database optimized for IoT and Big DataDatabase as a Service offering based on Apache CouchDB
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.firebirdsql.orggriddb.netwww.ibm.com/­products/­cloudant
Technical documentationdocs.databend.comwww.firebirdsql.org/­en/­reference-manualsdocs.griddb.netcloud.ibm.com/­docs/­Cloudant
DeveloperDatabend LabsFirebird FoundationToshiba CorporationIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release20212000 infoAs fork of Borland's InterBase20132010
Current release1.0.59, April 20235.0.0, January 20245.1, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoInitial Developer's Public LicenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC and C++C++Erlang
Server operating systemshosted
Linux
macOS
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linuxhosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampno
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyesSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresnoPSQLnoView functions (Map-Reduce) in JavaScript
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID at container levelno infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes infoOptimistic locking
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 concept, user rolesUsers with fine-grained authorization conceptAccess rights for users can be defined per databaseAccess rights for users can be defined per database
More information provided by the system vendor
DatabendFirebirdGridDBIBM Cloudant
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DatabendFirebirdGridDBIBM Cloudant
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