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DBMS > Apache IoTDB vs. Hawkular Metrics vs. MonetDB vs. SiteWhere vs. ToroDB

System Properties Comparison Apache IoTDB vs. Hawkular Metrics vs. MonetDB vs. SiteWhere vs. ToroDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMonetDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. 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 FlinkHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A relational database management system that stores data in columnsM2M integration platform for persisting/querying time series dataA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteiotdb.apache.orgwww.hawkular.orgwww.monetdb.orggithub.com/­sitewhere/­sitewheregithub.com/­torodb/­server
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.monetdb.org/­Documentationsitewhere1.sitewhere.io/­index.html
DeveloperApache Software FoundationCommunity supported by Red HatMonetDB BVSiteWhere8Kdata
Initial release20182014200420102016
Current release1.1.0, April 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaCJavaJava
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
All OS with a Java 7 VM
Data schemeyesschema-freeyespredefined schemeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, integer, double, boolean, date, object_id
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.nononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-like query languagenoyes infoSQL 2003 with some extensionsno
APIs and other access methodsJDBC
Native API
HTTP RESTJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Go
Java
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesnoyes, in SQL, C, R
Triggersyesyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infobased on CassandraSharding via remote tablesSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factor infobased on Cassandranone infoSource-replica replication available in experimental statusselectable replication factor infobased on HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnono
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.yesnono
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardUsers with fine-grained authorization conceptAccess rights for users and roles

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More resources
Apache IoTDBHawkular MetricsMonetDBSiteWhereToroDB
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