DBMS > 4D vs. Apache IoTDB vs. Percona Server for MySQL
System Properties Comparison 4D vs. Apache IoTDB vs. Percona Server for MySQL
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|Editorial information provided by DB-Engines|
|Name||4D former name: 4th Dimension Xexclude from comparison||Apache IoTDB Xexclude from comparison||Percona Server for MySQL Xexclude from comparison|
|Description||Application development environment with integrated database management system||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||Enhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.|
|Primary database model||Relational DBMS||Time Series DBMS||Relational DBMS|
|Developer||4D, Inc||Apache Software Foundation||Percona|
|Current release||v18 R5, January 2021||1.1.0, April 2023||8.0.32-24, 2023|
|License Commercial or Open Source||commercial||Open Source Apache Version 2.0||Open Source GPL version 2|
|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++|
|Server operating systems||OS X|
|All OS with a Java VM (>= 1.8)||Linux|
|Typing predefined data types such as float or date||yes||yes||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.||yes||no||yes|
|SQL Support of SQL||yes close to SQL 92||SQL-like query language||yes|
|APIs and other access methods||ODBC|
RESTful HTTP API by using 4D Mobile
|Supported programming languages||4D proprietary IDE|
|Server-side scripts Stored procedures||yes||yes||yes|
|Partitioning methods Methods for storing different data on different nodes||none||horizontal partitioning (by time range) + vertical partitioning (by deviceId)|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication||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||no||Integration with Hadoop and Spark||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency|
Strong Consistency with Raft
|Foreign keys Referential integrity||yes||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||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.||no||yes||yes|
|User concepts Access control||Users and groups||yes||Users with fine-grained authorization concept no user groups or roles|
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|4D former name: 4th Dimension||Apache IoTDB||Percona Server for MySQL|
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