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DBMS > Apache IoTDB vs. IBM Db2 warehouse vs. InterSystems IRIS vs. SpatiaLite vs. Speedb

System Properties Comparison Apache IoTDB vs. IBM Db2 warehouse vs. InterSystems IRIS vs. SpatiaLite vs. Speedb

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSpeedb  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 FlinkCloud-based data warehousing serviceA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilitySpatial extension of SQLiteAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelTime Series DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Spatial DBMSKey-value store
Secondary database modelsRelational 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
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score0.21
Rank#315  Overall
#45  Key-value stores
Websiteiotdb.apache.orgwww.ibm.com/­products/­db2/­warehousewww.intersystems.com/­products/­intersystems-iriswww.gaia-gis.it/­fossil/­libspatialite/­indexwww.speedb.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software FoundationIBMInterSystemsAlessandro FurieriSpeedb
Initial release20182014201820082020
Current release1.1.0, April 20232023.3, June 20235.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedAIX
Linux
macOS
Ubuntu
Windows
server-lessLinux
Windows
Data schemeyesyesdepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 possibleyesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyesyesyesno
APIs and other access methodsJDBC
Native API
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
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
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyesPL/SQL, SQL PLyesnono
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingnonehorizontal 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 replicationnoneyes
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 Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDyes
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.yesyesyesyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyesnono
More information provided by the system vendor
Apache IoTDBIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISSpatiaLiteSpeedb
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
Speedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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More resources
Apache IoTDBIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISSpatiaLiteSpeedb
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