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DBMS > Google Cloud Datastore

Google Cloud Datastore System Properties

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Database modelDocument store
DB-Engines Ranking measures the popularity of database management systems
Trend Chart
Score2.64
Rank#79  Overall
#14  Document stores
Websitecloud.google.com/­datastore
Technical documentationcloud.google.com/­datastore/­docs
DeveloperGoogle
Initial release2008
License Commercial or Open Sourcecommercial
Cloud-based Only available as a cloud serviceyes
Server operating systemshosted
Data schemeschema-free
Typing predefined data types such as float or dateyes, details here
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
Secondary indexesyes
SQL Support of (almost full) SQL standard (DML, DDL and DCL statements)no GQL, a SQL-like query language is supported
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts Stored proceduresusing Google App Engine
TriggersCallbacks using the Google Apps Engine
Partitioning methods Methods for storing different data on different nodesSharding
Replication methods Methods for redundantly storing data on multiple nodesMulti-Master replication using Paxos
MapReduce Offers an API for user-defined Map/Reduce methodsyes using Google Cloud Dataflow
Consistency concepts Methods to ensure consistency in a distributed systemImmediate 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.
Foreign keys Referential integrityyes via ReferenceProperties or Ancestor paths
Transaction concepts Support to ensure data integrity after non-atomic manipulations of dataACID Serializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency Support for concurrent manipulation of datayes
Durability Support for making data persistentyes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.no
User concepts Access controlno

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More resources
Google Cloud Datastore
Recent citations in the news

MIT Mathematician Spins Up 220000-Core Google Compute Cluster
22 April 2017, HPCwire (blog)

What Research Libraries And Web Archives Could Learn From The Commercial Cloud
28 March 2017, Forbes

“Above the Trend Line” – Your Industry Rumor Central for 4/24/2017
24 April 2017, insideBIGDATA

Google Promises Free Cloud Services To Korean Media Startups
17 April 2017, Tech News Inc

NIESBUD to organize Cloud Computing certification program for entrepreneurs
19 April 2017, Knn India

provided by Google News

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