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DBMS > IBM Db2 Event Store vs. InterSystems Caché vs. Linter vs. TDSQL for MySQL

System Properties Comparison IBM Db2 Event Store vs. InterSystems Caché vs. Linter vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLinter  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionDistributed Event Store optimized for Internet of Things use casesA multi-model DBMS and application serverRDBMS for high security requirementsA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelEvent Store
Time Series DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.intersystems.com/­products/­cachelinter.ruwww.tencentcloud.com/­products/­dcdb
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.intersystems.comwww.tencentcloud.com/­document/­product/­1042
DeveloperIBMInterSystemsrelex.ruTencent
Initial release2017199719902013
Current release2.02018.1.4, May 2020
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialcommercialcommercial
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 languageC and C++C and C++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hosted
Data schemeyesdepending on used data modelyesyes
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 runtimeyesyesyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
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++
Java
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesyes infoproprietary syntax with the possibility to convert from PL/SQLyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationSource-replica replicationMulti-source replication
Source-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 integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
IBM Db2 Event StoreInterSystems CachéLinterTDSQL for MySQL
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