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DBMS > Apache IoTDB vs. Kdb vs. MaxDB vs. TimesTen

System Properties Comparison Apache IoTDB vs. Kdb vs. MaxDB vs. TimesTen

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonKdb  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonTimesTen  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 FlinkHigh performance Time Series DBMSA robust and reliable RDBMS optimized to run all major SAP solutionsIn-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.65
Rank#111  Overall
#55  Relational DBMS
Score1.35
Rank#165  Overall
#75  Relational DBMS
Websiteiotdb.apache.orgkx.commaxdb.sap.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcode.kx.commaxdb.sap.com/­documentationdocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software FoundationKx Systems, a division of First Derivatives plcSAP, acquired from Software AG (Adabas-D) in 1997Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20182000 infokdb was released 2000, kdb+ in 200319841998
Current release1.1.0, April 20233.6, May 20187.9.10.12, February 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree 32-bit versioncommercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaqC++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyesyes
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.noyesnono
Secondary indexesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (q)yesyes
APIs and other access methodsJDBC
Native API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C#
Java
Perl
PHP
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesuser defined functionsyesPL/SQL
Triggersyesyes infowith viewsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlyesrights management via user accountsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache IoTDBKdbMaxDB infoformerly named Adabas-DTimesTen
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Apache IoTDBKdbMaxDB infoformerly named Adabas-DTimesTen
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