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

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

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonImmudb  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSpatiaLite  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 serviceAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilitySpatial extension of SQLite
Primary database modelTime Series DBMSRelational DBMSKey-value storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Spatial DBMS
Secondary database modelsRelational DBMSRelational 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
Score0.24
Rank#305  Overall
#43  Key-value stores
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
Websiteiotdb.apache.orgwww.ibm.com/­products/­db2/­warehousegithub.com/­codenotary/­immudb
immudb.io
www.intersystems.com/­products/­intersystems-iriswww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.immudb.iodocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software FoundationIBMCodenotaryInterSystemsAlessandro Furieri
Initial release20182014202020182008
Current release1.1.0, April 20231.2.3, April 20222023.3, June 20235.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
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 languageJavaGoC++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedBSD
Linux
macOS
Solaris
Windows
z/OS
AIX
Linux
macOS
Ubuntu
Windows
server-less
Data schemeyesyesschema-freedepending on used data modelyes
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.nono infoImport/export of XML data possiblenoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like syntaxyesyes
APIs and other access methodsJDBC
Native API
.NET Client API
JDBC
ODBC
OLE DB
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesPL/SQL, SQL PLnoyesno
Triggersyesyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingShardingnone
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 replicationnone
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 Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
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.yesyesnoyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyesno
More information provided by the system vendor
Apache IoTDBIBM Db2 warehouse infoformerly named IBM dashDBImmudbInterSystems IRISSpatiaLite
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Apache IoTDBIBM Db2 warehouse infoformerly named IBM dashDBImmudbInterSystems IRISSpatiaLite
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