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DBMS > IBM Db2 Event Store vs. InterSystems Caché vs. NuoDB vs. SiteWhere

System Properties Comparison IBM Db2 Event Store vs. InterSystems Caché vs. NuoDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonNuoDB  Xexclude from comparisonSiteWhere  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 serverNuoDB is a webscale distributed database that supports SQL and ACID transactionsM2M integration platform for persisting/querying time series data
Primary database modelEvent Store
Time Series DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
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
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.intersystems.com/­products/­cachewww.3ds.com/­nuodb-distributed-sql-databasegithub.com/­sitewhere/­sitewhere
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.intersystems.comdoc.nuodb.comsitewhere1.sitewhere.io/­index.html
DeveloperIBMInterSystemsDassault Systèmes infooriginally NuoDB, Inc.SiteWhere
Initial release2017199720132010
Current release2.02018.1.4, May 2020
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialcommercial infolimited edition freeOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesdepending on used data modelyespredefined scheme
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 indexesnoyesyesno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesyesno
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP REST
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
C++
Java
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesJava, SQL
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonedata is dynamically stored/cached on the nodes where it is read/writtenSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationyes infoManaged transparently by NuoDBselectable replication factor infobased on HBase
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 datanoACIDACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes infoMVCCyes
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.yesyesyes infoTemporary tableno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesStandard SQL roles/ privileges, Administrative UsersUsers with fine-grained authorization concept

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More resources
IBM Db2 Event StoreInterSystems CachéNuoDBSiteWhere
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