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DBMS > Apache IoTDB vs. InterSystems IRIS vs. KairosDB vs. Titan vs. Trafodion

System Properties Comparison Apache IoTDB vs. InterSystems IRIS vs. KairosDB vs. Titan vs. Trafodion

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonKairosDB  Xexclude from comparisonTitan  Xexclude from comparisonTrafodion  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.Apache Trafodion has been retired in 2021. Therefore it is 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 FlinkA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityDistributed Time Series DBMS based on Cassandra or H2Titan is a Graph DBMS optimized for distributed clusters.Transactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websiteiotdb.apache.orgwww.intersystems.com/­products/­intersystems-irisgithub.com/­kairosdb/­kairosdbgithub.com/­thinkaurelius/­titantrafodion.apache.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clskairosdb.github.iogithub.com/­thinkaurelius/­titan/­wikitrafodion.apache.org/­documentation.html
DeveloperApache Software FoundationInterSystemsAurelius, owned by DataStaxApache Software Foundation, originally developed by HP
Initial release20182018201320122014
Current release1.1.0, April 20232023.3, June 20231.2.2, November 20182.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache license, version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++, Java
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeyesdepending on used data modelschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query languageyesnonoyes
APIs and other access methodsJDBC
Native API
JDBC
ODBC
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
Java
JavaScript infoNode.js
PHP
Python
Clojure
Java
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesyesnoyesJava Stored Procedures
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding infobased on Cassandrayes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationselectable replication factor infobased on Cassandrayesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyes infovia Faunus, a graph analytics engineyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlyesyessimple password-based access controlUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache IoTDBInterSystems IRISKairosDBTitanTrafodion
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Apache IoTDBInterSystems IRISKairosDBTitanTrafodion
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