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DBMS > IBM Db2 Event Store vs. InterSystems Caché vs. Linter

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

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLinter  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 requirements
Primary database modelEvent Store
Time Series DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.10
Rank#350  Overall
#153  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.intersystems.com/­products/­cachelinter.ru
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.intersystems.com
DeveloperIBMInterSystemsrelex.ru
Initial release201719971990
Current release2.02018.1.4, May 2020
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
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
Data schemeyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesyes
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)
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
Server-side scripts infoStored proceduresyesyesyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
IBM Db2 Event StoreInterSystems CachéLinter
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