DBMS > Apache IoTDB vs. CouchDB vs. mSQL
System Properties Comparison Apache IoTDB vs. CouchDB vs. mSQL
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|Editorial information provided by DB-Engines|
|Name||Apache IoTDB Xexclude from comparison||CouchDB stands for "Cluster Of Unreliable Commodity Hardware" Xexclude from comparison||mSQL Mini SQL Xexclude from comparison|
|Description||An IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and Flink||A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.||mSQL (Mini SQL) is a simple and lightweight RDBMS|
|Primary database model||Time Series DBMS||Document store||Relational DBMS|
|Secondary database models||Spatial DBMS using the Geocouch extension|
|Developer||Apache Software Foundation||Apache Software Foundation Apache top-level project, originally developed by Damien Katz, a former Lotus Notes developer||Hughes Technologies|
|Current release||1.1.0, April 2023||3.3.2, April 2023||4.4, October 2021|
|License Commercial or Open Source||Open Source Apache Version 2.0||Open Source Apache version 2||commercial free licenses can be provided|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||All OS with a Java VM (>= 1.8)||Android|
|Typing predefined data types such as float or date||yes||no||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no||no|
|Secondary indexes||yes||yes via views||yes|
|SQL Support of SQL||SQL-like query language||no||A subset of ANSI SQL is implemented no subqueries, aggregate functions, views, foreign keys, triggers|
|APIs and other access methods||JDBC|
|RESTful HTTP/JSON API||JDBC|
|Supported programming languages||C|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning (by time range) + vertical partitioning (by deviceId)||Sharding improved architecture with release 2.0||none|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicas||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||Integration with Hadoop and Spark||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Strong Consistency with Raft
|Foreign keys Referential integrity||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no atomic operations within a single document possible||no|
|Concurrency Support for concurrent manipulation of data||yes||yes strategy: optimistic locking||no|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no||no|
|User concepts Access control||yes||Access rights for users can be defined per database||no|
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|Apache IoTDB||CouchDB stands for "Cluster Of Unreliable Commodity Hardware"||mSQL Mini SQL|
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