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DBMS > IBM Db2 Event Store vs. Ingres vs. Microsoft Azure SQL Database vs. openGauss

System Properties Comparison IBM Db2 Event Store vs. Ingres vs. Microsoft Azure SQL Database vs. openGauss

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesWell established RDBMSDatabase as a Service offering with high compatibility to Microsoft SQL ServerAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelEvent Store
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.actian.com/­databases/­ingresazure.microsoft.com/­en-us/­products/­azure-sql/­databasegitee.com/­opengauss
opengauss.org
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.actian.com/­ingresdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperIBMActian CorporationMicrosoftHuawei and openGauss community
Initial release20171974 infooriginally developed at University Berkely in early 1970s20102019
Current release2.011.2, May 2022V123.0, March 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++CC++C, C++, Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hostedLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infobut tools for importing/exporting data from/to XML-files availableyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesyesANSI SQL 2011
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
Server-side scripts infoStored proceduresyesyesTransact SQLyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationIngres Replicatoryes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyes infoMVCCyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
IBM Db2 Event StoreIngresMicrosoft Azure SQL Database infoformerly SQL AzureopenGauss
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