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DBMS > Apache IoTDB vs. IBM Db2 warehouse vs. SWC-DB vs. Yaacomo

System Properties Comparison Apache IoTDB vs. IBM Db2 warehouse vs. SWC-DB vs. Yaacomo

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
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 FlinkCloud-based data warehousing serviceA high performance, scalable Wide Column DBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websiteiotdb.apache.orgwww.ibm.com/­products/­db2/­warehousegithub.com/­kashirin-alex/­swc-db
www.swcdb.org
yaacomo.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.html
DeveloperApache Software FoundationIBMAlex KashirinQ2WEB GmbH
Initial release2018201420202009
Current release1.1.0, April 20230.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedLinuxAndroid
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono infoImport/export of XML data possiblenono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like query languageyes
APIs and other access methodsJDBC
Native API
.NET Client API
JDBC
ODBC
OLE DB
Proprietary protocol
Thrift
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Server-side scripts infoStored proceduresyesPL/SQL, SQL PLno
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesnoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache IoTDBIBM Db2 warehouse infoformerly named IBM dashDBSWC-DB infoSuper Wide Column DatabaseYaacomo
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