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DBMS > IBM Db2 Event Store vs. SingleStore vs. SiteWhere vs. ToroDB

System Properties Comparison IBM Db2 Event Store vs. SingleStore vs. SiteWhere vs. ToroDB

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSiteWhere  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed Event Store optimized for Internet of Things use casesMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeM2M integration platform for persisting/querying time series dataA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelEvent Store
Time Series DBMS
Relational DBMSTime Series DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.singlestore.comgithub.com/­sitewhere/­sitewheregithub.com/­torodb/­server
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.singlestore.comsitewhere1.sitewhere.io/­index.html
DeveloperIBMSingleStore Inc.SiteWhere8Kdata
Initial release2017201320102016
Current release2.08.5, January 2024
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercial infofree developer edition availableOpen Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL-V3
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++C++, GoJavaJava
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux info64 bit version requiredLinux
OS X
Windows
All OS with a Java 7 VM
Data schemeyesyespredefined schemeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, boolean, date, object_id
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.nononono
Secondary indexesnoyesno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyes infobut no triggers and foreign keysno
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
HTTP REST
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioningSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replication infostores two copies of each physical data partition on two separate nodesselectable replication factor infobased on HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes
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 control via users, groups and rolesUsers with fine-grained authorization conceptAccess rights for users and roles

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More resources
IBM Db2 Event StoreSingleStore infoformer name was MemSQLSiteWhereToroDB
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