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DBMS > IBM Db2 Event Store vs. MonetDB vs. OpenMLDB vs. Teradata

System Properties Comparison IBM Db2 Event Store vs. MonetDB vs. OpenMLDB vs. Teradata

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonMonetDB  Xexclude from comparisonOpenMLDB  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesA relational database management system that stores data in columnsAn open-source machine learning database that provides a feature platform for training and inferenceA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelEvent Store
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series 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
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.monetdb.orgopenmldb.aiwww.teradata.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storewww.monetdb.org/­Documentationopenmldb.ai/­docs/­zh/­maindocs.teradata.com
DeveloperIBMMonetDB BV4 Paradigm Inc.Teradata
Initial release2017200420201984
Current release2.0Dec2023 (11.49), December 20232024-2 February 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoMozilla Public License 2.0Open Sourcecommercial
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++CC++, Java, Scala
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionFreeBSD
Linux
OS X
Solaris
Windows
Linuxhosted
Linux
Data schemeyesyesFixed schemayes
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.nonoyes
Secondary indexesnoyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyes infoSQL 2003 with some extensionsyesyes infoSQL 2016 + extensions
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
SQLAlchemy
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
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++
Go
Java
Python
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesyes, in SQL, C, Rnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tableshorizontal partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationnone infoSource-replica replication available in experimental statusSource-replica replicationMulti-source replication
Source-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 integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
IBM Db2 Event StoreMonetDBOpenMLDBTeradata
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