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DBMS > IBM Cloudant vs. IBM Db2 Event Store vs. MarkLogic vs. TimescaleDB

System Properties Comparison IBM Cloudant vs. IBM Db2 Event Store vs. MarkLogic vs. TimescaleDB

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMarkLogic  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBDistributed Event Store optimized for Internet of Things use casesOperational and transactional Enterprise NoSQL databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument storeEvent Store
Time Series DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.73
Rank#108  Overall
#20  Document stores
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitewww.ibm.com/­products/­cloudantwww.ibm.com/­products/­db2-event-storewww.marklogic.comwww.timescale.com
Technical documentationcloud.ibm.com/­docs/­Cloudantwww.ibm.com/­docs/­en/­db2-event-storedocs.marklogic.comdocs.timescale.com
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014IBMMarkLogic Corp.Timescale
Initial release2010201720012017
Current release2.011.0, December 20222.13.0, November 2023
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC and C++C++C
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or datenoyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyesyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyes infoSQL92yes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP/JSON APIADO.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
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptyesyes infovia XQuery or JavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Active-active shard replicationyesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possiblenoACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexesno
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standard

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More resources
IBM CloudantIBM Db2 Event StoreMarkLogicTimescaleDB
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