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DBMS > Google Cloud Datastore vs. Yanza

System Properties Comparison Google Cloud Datastore vs. Yanza

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Our visitors often compare Google Cloud Datastore and Yanza with etcd, MySQL and CockroachDB.

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTime Series DBMS for IoT Applications
Primary database modelDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.98
Rank#77  Overall
#11  Document stores
Score0.00
Rank#353  Overall
#33  Time Series DBMS
Websitecloud.google.com/­datastoreyanza.com
Technical documentationcloud.google.com/­datastore/­docs
DeveloperGoogleYanza
Initial release20082015
License infoCommercial or Open Sourcecommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesno infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedWindows
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyes, details hereno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like query language (GQL)no
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresusing Google App Engineno
TriggersCallbacks using the Google Apps Engineyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong 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
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Google Cloud DatastoreYanza
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