![]() Other queries are always eventual consistent. Source-replica 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 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). Tcl Server-side scripts Stored procedures using Google App Engine Transact SQL yes proprietary syntax Triggers Callbacks using the Google Apps Engine yes 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 using Paxos yes, with always 3 replicas available Multi-source replication Proprietary native API Supported programming languages. no yes yes Secondary indexes yes yes yes SQL Support of SQL SQL-like query language (GQL) yes yes with proprietary extensions APIs and other access methods gRPC (using protocol buffers) API support for XML data structures, and/or support for XPath, XQuery or XSLT. Windows Data scheme schema-free yes yes 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. Implementation language C++ C and C++ Server operating systems hosted hosted FreeBSD ![]() Easily deploy, monitor, provision, and scale your deployments in the cloud. ScaleGrid for MySQL: Fully managed MySQL hosting On-Premises and on a wide variety of cloud providers.Predictably scale, increase workflow velocity, and deploy features with zero downtime. PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today.Providers of DBaaS offerings, please contact us to be listed. Commercial licenses with extended functionallity are available Cloud-based only Only available as a cloud service yes yes no DBaaS offerings (sponsored links) Database as a Service Spatial DBMS DB-Engines Ranking measures the popularity of database management systems Trend Chart Score 5.82 Rank #75 Overall #12 Document stores Score 78.96 Rank #16 Overall #10 Relational DBMS Score 1163.94 Rank #2 Overall #2 Relational DBMS Website /datastore /en-us/services/sql-database Technical documentation /datastore/docs /en-us/azure/azure-sql /doc Developer Google Microsoft Oracle since 2010, originally MySQL AB, then Sun Initial release 2008 2010 1995 Current release V12 8.0.33, April 2023 License Commercial or Open Source commercial commercial Open Source GPL version 2. ![]() Editorial information provided by DB-Engines Name Google Cloud Datastore X exclude from comparison Microsoft Azure SQL Database formerly SQL Azure X exclude from comparison MySQL X exclude from comparison Description Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform Database as a Service offering with high compatibility to Microsoft SQL Server Widely used open source RDBMS Primary database model Document store Relational DBMS Relational DBMS Key/Value like access via memcached API Secondary database models Document store Please select another system to include it in the comparison. MySQL System Properties Comparison Google Cloud Datastore vs.
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