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DBMS > FeatureBase vs. GridDB vs. IBM Db2 warehouse vs. Ingres vs. InterSystems IRIS

System Properties Comparison FeatureBase vs. GridDB vs. IBM Db2 warehouse vs. Ingres vs. InterSystems IRIS

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGridDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonIngres  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Scalable in-memory time series database optimized for IoT and Big DataCloud-based data warehousing serviceWell established RDBMSA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Websitewww.featurebase.comgriddb.netwww.ibm.com/­products/­db2/­warehousewww.actian.com/­databases/­ingreswww.intersystems.com/­products/­intersystems-iris
Technical documentationdocs.featurebase.comdocs.griddb.netdocs.actian.com/­ingresdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperMolecula and Pilosa Open Source ContributorsToshiba CorporationIBMActian CorporationInterSystems
Initial release2017201320141974 infooriginally developed at University Berkely in early 1970s2018
Current release2022, May 20225.1, August 202211.2, May 20222023.3, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C
Server operating systemsLinux
macOS
LinuxhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
Linux
macOS
Ubuntu
Windows
Data schemeyesyesyesyesdepending on used data model
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes
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 infoImport/export of XML data possibleno infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL queriesSQL92, SQL-like TQL (Toshiba Query Language)yesyesyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
OLE DB
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLyesyes
Triggersnoyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesIngres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID at container levelACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnoyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes
More information provided by the system vendor
FeatureBaseGridDBIBM Db2 warehouse infoformerly named IBM dashDBIngresInterSystems IRIS
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» 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
FeatureBaseGridDBIBM Db2 warehouse infoformerly named IBM dashDBIngresInterSystems IRIS
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