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DBMS > IBM Db2 Event Store vs. MarkLogic vs. SWC-DB vs. ToroDB

System Properties Comparison IBM Db2 Event Store vs. MarkLogic vs. SWC-DB vs. ToroDB

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonMarkLogic  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 casesOperational and transactional Enterprise NoSQL databaseA high performance, scalable Wide Column DBMSA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelEvent Store
Time Series DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Wide column storeDocument store
Secondary database modelsTime Series 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
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score0.01
Rank#378  Overall
#13  Wide column stores
Websitewww.ibm.com/­products/­db2-event-storewww.progress.com/­marklogicgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­torodb/­server
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storewww.progress.com/­marklogic/­documentation
DeveloperIBMMarkLogic Corp.Alex Kashirin8Kdata
Initial release2017200120202016
Current release2.011.0, December 20220.5, April 2021
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercial inforestricted free version is availableOpen Source infoGPL V3Open Source infoAGPL-V3
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++C++Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
LinuxAll OS with a Java 7 VM
Data schemeyesschema-free infoSchema can be enforcedschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes 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.noyesnono
Secondary indexesnoyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyes infoSQL92SQL-like query language
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Proprietary protocol
Thrift
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Server-side scripts infoStored proceduresyesyes infovia XQuery or JavaScriptno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionno
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.yesyes, with Range Indexesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsAccess rights for users and roles

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More resources
IBM Db2 Event StoreMarkLogicSWC-DB infoSuper Wide Column DatabaseToroDB
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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