DBMS > Google Cloud Datastore vs. MySQL vs. Trafodion
System Properties Comparison Google Cloud Datastore vs. MySQL vs. Trafodion
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Datastore Xexclude from comparison||MySQL Xexclude from comparison||Trafodion Xexclude from comparison|
|Description||Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform||Widely used open source RDBMS||Transactional SQL-on-Hadoop DBMS|
|Primary database model||Document store||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||Apache Software Foundation, originally developed by HP|
|Current release||8.0.32, January 2023||2.3.0, February 2019|
|License Commercial or Open Source||commercial||Open Source GPL version 2. Commercial licenses with extended functionallity are available||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C and C++||C++, Java|
|Server operating systems||hosted||FreeBSD|
|Typing predefined data types such as float or date||yes, details here||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.||no||yes||no|
|SQL Support of SQL||SQL-like query language (GQL)||yes with proprietary extensions||yes|
|APIs and other access methods||gRPC (using protocol buffers) API|
RESTful HTTP/JSON API
Proprietary native API
|Supported programming languages||.Net|
|All languages supporting JDBC/ODBC/ADO.Net|
|Server-side scripts Stored procedures||using Google App Engine||yes proprietary syntax||Java Stored Procedures|
|Triggers||Callbacks using the Google Apps Engine||yes||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication using Paxos||Multi-source replication|
|yes, via HBase|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes using Google Cloud Dataflow||no||yes via user defined functions and HBase|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency or Eventual Consistency depending on type of query and configuration Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes via ReferenceProperties or Ancestor paths||yes not for MyISAM storage engine||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID Serializable Isolation within Transactions, Read Committed outside of Transactions||ACID not for MyISAM storage engine||ACID|
|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||no|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||Users with fine-grained authorization concept no user groups or roles||fine grained access rights according to SQL-standard|
More information provided by the system vendor
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|Google Cloud Datastore||MySQL||Trafodion|
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