DBMS > etcd vs. MySQL vs. Yanza
System Properties Comparison etcd vs. MySQL vs. Yanza
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|Editorial information provided by DB-Engines|
|Name||etcd Xexclude from comparison||MySQL Xexclude from comparison||Yanza Xexclude from comparison|
|Description||A distributed reliable key-value store||Widely used open source RDBMS||Time Series DBMS for IoT Applications|
|Primary database model||Key-value store||Relational DBMS Key/Value like access via memcached API||Time Series DBMS|
|Secondary database models||Document store|
|Developer||Oracle since 2010, originally MySQL AB, then Sun||Yanza|
|Current release||3.4, August 2019||8.0.24, April 2021|
|License Commercial or Open Source||Open Source Apache Version 2.0||Open Source GPL version 2. Commercial licenses with extended functionallity are available||commercial free version available|
|Cloud-based only Only available as a cloud service||no||no||no but mainly used as a service provided by Yanza|
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|Implementation language||Go||C and C++|
|Server operating systems||FreeBSD|
|Typing predefined data types such as float or date||no||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||no||yes with proprietary extensions||no|
|APIs and other access methods||gRPC|
JSON over HTTP
Proprietary native API
|Supported programming languages||.Net|
|any language that supports HTTP calls|
|Server-side scripts Stored procedures||no||yes proprietary syntax||no|
|Triggers||yes, watching key changes||yes||yes Timer and event based|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||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||no|
|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.||no||yes|
|User concepts Access control||no||Users with fine-grained authorization concept no user groups or roles||no|
More information provided by the system vendor
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