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DBMS > Google Cloud Datastore vs. Google Cloud Firestore vs. H2 vs. LokiJS vs. Yanza

System Properties Comparison Google Cloud Datastore vs. Google Cloud Firestore vs. H2 vs. LokiJS vs. Yanza

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonH2  Xexclude from comparisonLokiJS  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.In-memory JavaScript DBMSTime Series DBMS for IoT Applications
Primary database modelDocument storeDocument storeRelational DBMSDocument storeTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score7.36
Rank#53  Overall
#9  Document stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Websitecloud.google.com/­datastorefirebase.google.com/­products/­firestorewww.h2database.comgithub.com/­techfort/­LokiJSyanza.com
Technical documentationcloud.google.com/­datastore/­docsfirebase.google.com/­docs/­firestorewww.h2database.com/­html/­main.htmltechfort.github.io/­LokiJS
DeveloperGoogleGoogleThomas MuellerYanza
Initial release20082017200520142015
Current release2.2.220, July 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Sourcecommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono 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.
Implementation languageJavaJavaScript
Server operating systemshostedhostedAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesnono
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.nonononono
Secondary indexesyesyesyesyes infovia viewsno
SQL infoSupport of SQLSQL-like query language (GQL)noyesnono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
JavaScript APIHTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaJavaScriptany language that supports HTTP calls
Server-side scripts infoStored proceduresusing Google App Engineyes, Firebase Rules & Cloud FunctionsJava Stored Procedures and User-Defined FunctionsView functions in JavaScriptno
TriggersCallbacks using the Google Apps Engineyes, with Cloud Functionsyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replicationWith clustering: 2 database servers on different computers operate on identical copies of a databasenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud DataflowUsing Cloud Dataflownoyesno
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 ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsyesACIDno infoatomic operations within a single collection possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardnono

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More resources
Google Cloud DatastoreGoogle Cloud FirestoreH2LokiJSYanza
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