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DBMS > Apache IoTDB vs. GeoSpock vs. IBM Db2 warehouse vs. InterSystems IRIS vs. SWC-DB

System Properties Comparison Apache IoTDB vs. GeoSpock vs. IBM Db2 warehouse vs. InterSystems IRIS vs. SWC-DB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded 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 FlinkSpatial and temporal data processing engine for extreme data scaleCloud-based data warehousing serviceA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA high performance, scalable Wide Column DBMS
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Wide column store
Secondary database modelsTime Series DBMSTime 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
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websiteiotdb.apache.orggeospock.comwww.ibm.com/­products/­db2/­warehousewww.intersystems.com/­products/­intersystems-irisgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperApache Software FoundationGeoSpockIBMInterSystemsAlex Kashirin
Initial release2018201420182020
Current release1.1.0, April 20232.0, September 20192023.3, June 20230.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptC++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedhostedAIX
Linux
macOS
Ubuntu
Windows
Linux
Data schemeyesyesyesdepending on used data modelschema-free
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.nonono infoImport/export of XML data possibleyesno
Secondary indexesyestemporal, categoricalyesyes
SQL infoSupport of SQLSQL-like query languageANSI SQL for query only (using Presto)yesyesSQL-like query language
APIs and other access methodsJDBC
Native API
JDBC.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
Proprietary protocol
Thrift
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C++
Server-side scripts infoStored proceduresyesnoPL/SQL, SQL PLyesno
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Automatic shardingShardingShardingSharding
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 Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesno
User concepts infoAccess controlyesAccess rights for users can be defined per tablefine grained access rights according to SQL-standardyes
More information provided by the system vendor
Apache IoTDBGeoSpockIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISSWC-DB infoSuper Wide Column Database
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Apache IoTDBGeoSpockIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISSWC-DB infoSuper Wide Column Database
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