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

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

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudAutomatically 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.
Primary database modelDocument store
Key-value store
Document storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score87.26
Rank#15  Overall
#2  Document stores
#2  Key-value stores
Score6.45
Rank#67  Overall
#12  Document stores
Score10.03
Rank#49  Overall
#8  Document stores
Websiteaws.amazon.com/­dynamodbcloud.google.com/­datastorefirebase.google.com/­products/­firestore
Technical documentationdocs.aws.amazon.com/­dynamodbcloud.google.com/­datastore/­docsfirebase.google.com/­docs/­firestore
DeveloperAmazonGoogleGoogle
Initial release201220082017
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedhostedhosted
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyes
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 SQLnoSQL-like query language (GQL)no
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresnousing Google App Engineyes, Firebase Rules & Cloud Functions
Triggersyes infoby integration with AWS LambdaCallbacks using the Google Apps Engineyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using PaxosMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infousing Google Cloud DataflowUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate 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 integritynoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 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 (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 DynamoDBGoogle Cloud DatastoreGoogle Cloud Firestore
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Recent citations in the news

Using a NestJS Application with DynamoDB and Serverless Framework on AWS
22 July 2022, hackernoon.com

AWS: Here's how our cloud-computing infrastructure dealt with Amazon Prime day
26 July 2022, ZDNet

How to Manage Your Asynchronous API With DynamoDB Streams
14 June 2022, Built In

Imperva Extends its Data Security Fabric to Include Enterprise Data Lakes Built on AWS
26 July 2022, Business Wire

DynamoDB’s co-creator reflects on the database’s birthday and how cloud is driving a machine learning future
15 February 2022, SiliconANGLE News

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It's So Hot the Clouds Are Melting
20 July 2022, Gizmodo

On-premises vs. cloud data warehouses: Pros and cons
22 July 2022, TechTarget

Key factors to achieve data security in cloud computing
18 July 2022, TechTarget

Google announces new faster API for Google Cloud Datastore
4 April 2016, 9to5Google

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11 March 2022, InfoQ.com

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It's So Hot the Clouds Are Melting
20 July 2022, Gizmodo

Google's Firebase app development platform gets updates and security boosts
11 May 2022, SiliconANGLE News

Google launches Cloud Firestore, a new document database for app developers
3 October 2017, TechCrunch

Google's Cloud Firestore is now generally available
31 January 2019, ZDNet

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

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