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DBMS > GridDB vs. IBM Db2 warehouse vs. InterSystems IRIS vs. Microsoft Azure Synapse Analytics vs. OpenMLDB

System Properties Comparison GridDB vs. IBM Db2 warehouse vs. InterSystems IRIS vs. Microsoft Azure Synapse Analytics vs. OpenMLDB

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataCloud-based data warehousing serviceA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelTime Series DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#122  Overall
#10  Time Series DBMS
Score1.23
Rank#164  Overall
#75  Relational DBMS
Score2.76
Rank#96  Overall
#17  Document stores
#16  Key-value stores
#1  Object oriented DBMS
#49  Relational DBMS
Score16.84
Rank#33  Overall
#19  Relational DBMS
Score0.08
Rank#344  Overall
#30  Time Series DBMS
Websitegriddb.netwww.ibm.com/­products/­db2/­warehousewww.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­services/­synapse-analyticsopenmldb.ai
Technical documentationdocs.griddb.netdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.microsoft.com/­azure/­synapse-analyticsopenmldb.ai/­docs/­zh/­main
DeveloperToshiba CorporationIBMInterSystemsMicrosoft4 Paradigm Inc.
Initial release20132014201820162020
Current release5.1, August 20222023.3, June 20232024-2 February 2024
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++, Java, Scala
Server operating systemsLinuxhostedAIX
Linux
macOS
Ubuntu
Windows
hostedLinux
Data schemeyesyesdepending on used data modelyesFixed schema
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyesyes
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 infoImport/export of XML data possibleyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yesyesyesyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
SQLAlchemy
Supported programming languagesC
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
C#
Java
PHP
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLyesTransact SQLno
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding, horizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replicationyesSource-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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesyesyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardyesyesfine grained access rights according to SQL-standard
More information provided by the system vendor
GridDBIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenMLDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
GridDBIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenMLDB
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