DBMS > MySQL vs. Sequoiadb
System Properties Comparison MySQL vs. Sequoiadb
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|Editorial information provided by DB-Engines|
|Name||MySQL Xexclude from comparison||Sequoiadb Xexclude from comparison|
|Description||Widely used open source RDBMS||NewSQL database with distributed OLTP and SQL|
|Primary database model||Relational DBMS Key/Value like access via memcached API||Document store|
|Secondary database models||Document store|
|Developer||Oracle since 2010, originally MySQL AB, then Sun||Sequoiadb Ltd.|
|Current release||8.0.18, October 2019|
|License Commercial or Open Source||Open Source GPL version 2. Commercial licenses with extended functionallity are available||Open Source Server: AGPL; Client: Apache V2|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C and C++||C++|
|Server operating systems||FreeBSD|
|Typing predefined data types such as float or date||yes||yes oid, date, timestamp, binary, regex|
|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|
|SQL Support of SQL||yes with proprietary extensions||SQL-like query language|
|APIs and other access methods||Proprietary native API|
|proprietary protocol using JSON|
|Supported programming languages||Ada|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Master-master replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||yes not for MyISAM storage engine||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID not for MyISAM storage engine||Document is locked during a transaction|
|Concurrency Support for concurrent manipulation of data||yes table locks or row locks depending on storage engine||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no|
|User concepts Access control||Users with fine-grained authorization concept no user groups or roles||simple password-based access control|
|More information provided by the system vendor|
|Specific characteristics||SequoiaDB is a financial-level distributed database including three storage modes:...|
|Competitive advantages||SequoiaDB provides a leading OLTP solution in the industry, and perfectly addresses...|
|Typical application scenarios||As a financial-level distributed database management system, SequoiaDB supports distributed...|
|Key customers||China Minsheng Bank Bank of China Hengfeng Bank China GUANGFA Bank PICC China Mobile...|
|Market metrics||2017,2018 Gartner’s Database Report Listed More than 1000 enterprise customers and...|
|Licensing and pricing models||Open source GPL/Commercial licensing for enterprise version and services|
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