DBMS > Apache IoTDB vs. MySQL vs. Tkrzw
System Properties Comparison Apache IoTDB vs. MySQL vs. Tkrzw
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|Editorial information provided by DB-Engines|
|Name||Apache IoTDB Xexclude from comparison||MySQL Xexclude from comparison||Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet 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||Widely used open source RDBMS||A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet|
|Primary database model||Time Series DBMS||Relational DBMS Key/Value like access via memcached API||Key-value store|
|Secondary database models||Document store|
|Developer||Apache Software Foundation||Oracle since 2010, originally MySQL AB, then Sun||Mikio Hirabayashi|
|Current release||1.1.0, April 2023||8.0.33, April 2023||0.9.3, August 2020|
|License Commercial or Open Source||Open Source Apache Version 2.0||Open Source GPL version 2. Commercial licenses with extended functionallity are available||Open Source Apache Version 2.0|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||Java||C and C++||C++|
|Server operating systems||All OS with a Java VM (>= 1.8)||FreeBSD|
|Typing predefined data types such as float or date||yes||yes||no|
|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||yes||no|
|SQL Support of SQL||SQL-like query language||yes with proprietary extensions||no|
|APIs and other access methods||JDBC|
Proprietary native API
|Supported programming languages||C|
|Server-side scripts Stored procedures||yes||yes proprietary syntax||no|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning (by time range) + vertical partitioning (by deviceId)||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric||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||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Strong Consistency with Raft
|Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes not for MyISAM storage engine||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID not for MyISAM storage engine|
|Concurrency Support for concurrent manipulation of data||yes||yes table locks or row locks depending on storage engine||yes|
|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||yes||yes using specific database classes|
|User concepts Access control||yes||Users with fine-grained authorization concept no user groups or roles||no|
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|Apache IoTDB||MySQL||Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet|
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