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DBMS > IBM Db2 Event Store vs. Microsoft SQL Server vs. mSQL vs. SAP HANA

System Properties Comparison IBM Db2 Event Store vs. Microsoft SQL Server vs. mSQL vs. SAP HANA

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesMicrosofts flagship relational DBMSmSQL (Mini SQL) is a simple and lightweight RDBMSIn-memory, column based data store. Available as appliance or cloud service
Primary database modelEvent Store
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
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
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­sql-serverhughestech.com.au/­products/­msqlwww.sap.com/­products/­hana.html
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storelearn.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­hana
DeveloperIBMMicrosoftHughes TechnologiesSAP
Initial release2017198919942010
Current release2.0SQL Server 2022, November 20224.4, October 20212.0 SPS07 (AprilĀ 4, 2023), April 2023
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercial inforestricted free version is availablecommercial infofree licenses can be providedcommercial
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++C
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Appliance or cloud-service
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.noyesnono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
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
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavanoSQLScript, R
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyes, but depending on the SQL-Server Editionnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesnoyes
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.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoyes

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More resources
IBM Db2 Event StoreMicrosoft SQL ServermSQL infoMini SQLSAP HANA
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