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DBMS > Apache IoTDB vs. DataFS vs. MaxDB vs. SWC-DB vs. TimesTen

System Properties Comparison Apache IoTDB vs. DataFS vs. MaxDB vs. SWC-DB vs. TimesTen

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDataFS  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 FlinkAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A robust and reliable RDBMS optimized to run all major SAP solutionsA high performance, scalable Wide Column DBMSAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelTime Series DBMSObject oriented DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.02
Rank#369  Overall
#18  Object oriented DBMS
Score2.15
Rank#115  Overall
#55  Relational DBMS
Score0.01
Rank#378  Overall
#13  Wide column stores
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websiteiotdb.apache.orgnewdatabase.commaxdb.sap.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldev.mobiland.com/­Overview.xspmaxdb.sap.com/­documentationdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperApache Software FoundationMobiland AGSAP, acquired from Software AG (Adabas-D) in 1997Alex KashirinOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20182018198420201998
Current release1.1.0, April 20231.1.263, October 20227.9.10.12, February 20240.5, April 2021Release 22.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoLimited community edition freeOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)WindowsAIX
HP-UX
Linux
Solaris
Windows
LinuxIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeyes
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.nonononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like query languageyes
APIs and other access methodsJDBC
Native API
.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
ODBC
WebDAV
Proprietary protocol
Thrift
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C#
C++
VB.Net
.Net
C#
Java
Perl
PHP
Python
C++C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyesyesnoPL/SQL
Triggersyesno, except callback-events from server when changes happenedyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Proprietary Sharding systemnoneShardingnone
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 replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate 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 datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesnononoyes
User concepts infoAccess controlyesWindows-Profilefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache IoTDBDataFSMaxDB infoformerly named Adabas-DSWC-DB infoSuper Wide Column DatabaseTimesTen
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