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

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

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 FlinkFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Cloud-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 DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Wide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score1.55
Rank#154  Overall
#26  Document stores
#14  Graph DBMS
#72  Relational DBMS
#13  Time Series DBMS
Score1.34
Rank#166  Overall
#76  Relational DBMS
Score4.39
Rank#81  Overall
#13  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#44  Relational DBMS
Score0.01
Rank#387  Overall
#13  Wide column stores
Websiteiotdb.apache.orgfauna.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.fauna.comdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperApache Software FoundationFauna, Inc.IBMInterSystemsAlex Kashirin
Initial release20182014201420182020
Current release1.1.0, April 20232023.3, 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 languageJavaScalaC++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedhostedAIX
Linux
macOS
Ubuntu
Windows
Linux
Data schemeyesschema-freeyesdepending on used data modelschema-free
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 possibleyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesyesSQL-like query language
APIs and other access methodsJDBC
Native API
RESTful HTTP API.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
Proprietary protocol
Thrift
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C++
Server-side scripts infoStored proceduresyesuser defined functionsPL/SQL, SQL PLyesno
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning infoconsistent hashingShardingShardingSharding
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 replicationyesSource-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 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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesno
User concepts infoAccess controlyesIdentity management, authentication, and access controlfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Apache IoTDBFauna infopreviously named FaunaDBIBM 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 IoTDBFauna infopreviously named FaunaDBIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISSWC-DB infoSuper Wide Column Database
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