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DBMS > Google Cloud Firestore vs. Microsoft Azure Cosmos DB

System Properties Comparison Google Cloud Firestore vs. Microsoft Azure Cosmos DB

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Our visitors often compare Google Cloud Firestore and Microsoft Azure Cosmos DB with MongoDB, Amazon DynamoDB and Redis.

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionCloud 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.Globally distributed, horizontally scalable, multi-model database service
Primary database modelDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.33
Rank#57  Overall
#9  Document stores
Score31.33
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitefirebase.google.com/­products/­firestoreazure.microsoft.com/­services/­cosmos-db
Technical documentationfirebase.google.com/­docs/­firestoredocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperGoogleMicrosoft
Initial release20172014
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhosted
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON types
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.no
Secondary indexesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoSQL-like query language
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsJavaScript
Triggersyes, with Cloud FunctionsJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights can be defined down to the item level

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More resources
Google Cloud FirestoreMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Recent citations in the news

5 Google Cloud tools you should know
11 October 2019, TechTarget

Firebase launches Extensions to help easily solve common app problems
26 September 2019, 9to5Google

Compare Google Cloud Firestore and Firebase Realtime Database
9 August 2019, TechTarget

Google’s Cloud Firestore NoSQL database hits general availability
31 January 2019, TechCrunch

Google Firestore Released
4 February 2019, iProgrammer

provided by Google News

Azure Cosmos DB now has support for built-in Jupyter notebooks
1 October 2019, Neowin

Azure Cosmos DB gets built-in Jupyter notebooks support
1 October 2019, DevClass

Microsoft Announces General Availability of Jupyter Notebooks Support for Cosmos DB
8 October 2019, InfoQ.com

Document Databases Software Market competitive landscape by: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase.
15 October 2019, Global Market Release

Drive high CAGR by Global Document Databases Software Market Along with Top Key Players like MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic, RethinkDB, CouchDB, etc.
22 October 2019, The Chicago Sentinel

provided by Google News

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