DBMS > Google Cloud Spanner vs. MySQL vs. Valentina Server
System Properties Comparison Google Cloud Spanner vs. MySQL vs. Valentina Server
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Spanner Xexclude from comparison||MySQL Xexclude from comparison||Valentina Server Xexclude from comparison|
|Description||A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.||Widely used open source RDBMS||Object-relational database and reports server|
|Primary database model||Relational DBMS||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||Paradigma Software|
|Current release||8.1.0, July 2023||5.7.5|
|License Commercial or Open Source||commercial||Open Source GPL version 2. Commercial licenses with extended functionallity are available||commercial|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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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||hosted||FreeBSD|
|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.||no||yes|
|SQL Support of SQL||yes Query statements complying to ANSI 2011||yes with proprietary extensions||yes|
|APIs and other access methods||gRPC (using protocol buffers) API|
JDBC At present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Proprietary native API
|Supported programming languages||Go|
|Server-side scripts Stored procedures||no||yes proprietary syntax||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication with 3 replicas for regional instances.||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes using Google Cloud Dataflow||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes by using interleaved tables, this features focuses more on performance improvements than on referential integrity||yes not for MyISAM storage engine||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID Strict serializable isolation||ACID not for MyISAM storage engine|
|Concurrency Support for concurrent manipulation of data||yes||yes table locks or row locks depending on storage engine|
|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||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|
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|Related products and services|
|3rd parties||CData: Connect to Big Data & NoSQL through standard Drivers.|
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|Google Cloud Spanner||MySQL||Valentina Server|
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Senior Google Cloud Engineer/SME
Principal Engineer, Query Processing, Spanner, Google Cloud
Google Cloud Platform Data Engineer
Google Cloud Platform Data Engineering Senior Manager
Software Engineering Manager
BackEnd Engineer (10x)
MySQL Systems Admin*
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