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DBMS > IBM Db2 Event Store vs. MonetDB vs. Splice Machine vs. Transbase

System Properties Comparison IBM Db2 Event Store vs. MonetDB vs. Splice Machine vs. Transbase

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonMonetDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesA relational database management system that stores data in columnsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelEvent Store
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument 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
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.monetdb.orgsplicemachine.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storewww.monetdb.org/­Documentationsplicemachine.com/­how-it-workswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperIBMMonetDB BVSplice MachineTransaction Software GmbH
Initial release2017200420141987
Current release2.0Dec2023 (11.49), December 20233.1, March 2021Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoMozilla Public License 2.0Open Source infoAGPL 3.0, commercial license availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CJavaC and C++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Solaris
Windows
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
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyes infoSQL 2003 with some extensionsyesyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesyes, in SQL, C, Ryes infoJavayes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationnone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDyes
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes, multi-version concurrency control (MVCC)yes
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-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
IBM Db2 Event StoreMonetDBSplice MachineTransbase
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