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DBMS > Apache IoTDB vs. IBM Cloudant vs. IBM Db2 warehouse vs. MarkLogic

System Properties Comparison Apache IoTDB vs. IBM Cloudant vs. IBM Db2 warehouse vs. MarkLogic

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkDatabase as a Service offering based on Apache CouchDBCloud-based data warehousing serviceOperational and transactional Enterprise NoSQL database
Primary database modelTime Series DBMSDocument storeRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websiteiotdb.apache.orgwww.ibm.com/­products/­cloudantwww.ibm.com/­products/­db2/­warehousewww.marklogic.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcloud.ibm.com/­docs/­Cloudantdocs.marklogic.com
DeveloperApache Software FoundationIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014IBMMarkLogic Corp.
Initial release2018201020142001
Current release1.1.0, April 202311.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedhostedLinux
OS X
Windows
Data schemeyesschema-freeyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonono infoImport/export of XML data possibleyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesyes infoSQL92
APIs and other access methodsJDBC
Native API
RESTful HTTP/JSON API.NET Client API
JDBC
ODBC
OLE DB
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
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesView functions (Map-Reduce) in JavaScriptPL/SQL, SQL PLyes infovia XQuery or JavaScript
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possibleACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes, with Range Indexes
User concepts infoAccess controlyesAccess rights for users can be defined per databasefine grained access rights according to SQL-standardRole-based access control at the document and subdocument levels

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More resources
Apache IoTDBIBM CloudantIBM Db2 warehouse infoformerly named IBM dashDBMarkLogic
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