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DBMS > Amazon DocumentDB vs. Amazon DynamoDB vs. Google Cloud Firestore

System Properties Comparison Amazon DocumentDB vs. Amazon DynamoDB vs. Google Cloud Firestore

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHosted, scalable database service by Amazon with the data stored in Amazons cloudCloud 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.
Primary database modelDocument storeDocument store
Key-value store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#148  Overall
#24  Document stores
Score79.69
Rank#15  Overall
#2  Document stores
#2  Key-value stores
Score11.51
Rank#45  Overall
#8  Document stores
Websiteaws.amazon.com/­documentdbaws.amazon.com/­dynamodbfirebase.google.com/­products/­firestore
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.aws.amazon.com/­dynamodbfirebase.google.com/­docs/­firestore
DeveloperAmazonGoogle
Initial release201920122017
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationscommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhostedhosted
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnonono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresnonoyes, Firebase Rules & Cloud Functions
Triggersnoyes infoby integration with AWS Lambdayes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Using Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID infoACID across one or more tables within a single AWS account and regionyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles can be defined via the AWS 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.

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More resources
Amazon DocumentDBAmazon DynamoDBGoogle Cloud Firestore
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Recent citations in the news

Amazon DocumentDB's New Elastic Clusters Enhance Scalability ...
19 January 2023, Database Trends and Applications

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31 January 2019, TechCrunch

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11 October 2022, SiliconANGLE News

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