DBMS > MySQL vs. Teradata Aster
System Properties Comparison MySQL vs. Teradata Aster
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|Editorial information provided by DB-Engines|
|Name||MySQL Xexclude from comparison||Teradata Aster Xexclude from comparison|
|Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.|
|Description||Widely used open source RDBMS||Platform for big data analytics on multistructured data sources and types|
|Primary database model||Relational DBMS Key/Value like access via memcached API||Relational DBMS|
|Secondary database models||Document store|
|Developer||Oracle since 2010, originally MySQL AB, then Sun||Teradata|
|Current release||8.1.0, July 2023|
|License Commercial or Open Source||Open Source GPL version 2. Commercial licenses with extended functionallity are available||commercial|
|Cloud-based only Only available as a cloud service||no||no|
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|PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today. Predictably scale, increase workflow velocity, and deploy features with zero downtime.|
|Implementation language||C and C++|
|Server operating systems||FreeBSD|
|Data scheme||yes||Flexible Schema (defined schema, partial schema, schema free) defined schema within the relational store; partial schema or schema free in the Aster File Store|
|Typing predefined data types such as float or date||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||yes in Aster File Store|
|SQL Support of SQL||yes with proprietary extensions||yes|
|APIs and other access methods||ADO.NET|
Proprietary native API
|Supported programming languages||Ada|
|Server-side scripts Stored procedures||yes proprietary syntax||R packages|
|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||Multi-source replication|
|yes Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes SQL Map-Reduce Framework|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency or Eventual Consistency depending on configuration|
|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||ACID|
|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||fine grained access rights according to SQL-standard|
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|Related products and services|
|3rd parties||PlanetScale: Deploy a fully managed serverless database with the reliability of MySQL and the tested scalability of Vitess. Predictably scale, increase workflow velocity, and deploy features with zero downtime. |
Get started with a PlanetScale database today for free.
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