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

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Fast, scalable, highly available, and fully managed MongoDB-compatible database service

Cloud 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.

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Primary database model

Document store

Key-value store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.80
Rank	#132	Overall
	#23	Document stores

Score	9.32
Rank	#52	Overall
	#10	Document stores

Score	0.02
Rank	#341	Overall
	#52	Key-value stores

Website

aws.amazon.com/documentdb

firebase.google.com/products/firestore

swaydb.io

Technical documentation

aws.amazon.com/documentdb/resources

firebase.google.com/docs/firestore

Developer

Google

Simer Plaha

Initial release

2019

2017

2018

License

Commercial or Open Source

commercial

Open Source

GNU Affero GPL V3.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Scala

Server operating systems

hosted

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

APIs and other access methods

proprietary protocol using JSON (MongoDB compatible)

Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API

Supported programming languages

Go
Java
JavaScript (Node.js)
PHP
Python

Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python

Java
Kotlin
Scala

Server-side scripts

Stored procedures

yes, Firebase Rules & Cloud Functions

Triggers

yes, with Cloud Functions

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas

Multi-source replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

Using Cloud Dataflow

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

typically not used, however similar functionality with DBRef possible

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Atomic single-document operations

yes

Atomic execution of operations

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Access rights for users and roles

Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

show all

Recent citations in the news

AWS DocumentDB not MongoDB-compatible, says MongoDB Inc
6 December 2021, The Register

AWS, MongoDB database collision stirs open source tensions
11 January 2019, TechTarget

Amazon DocumentDB adds Global Clusters
2 June 2021, ZDNet

Building modern applications with a JSON document database: An introduction to Amazon DocumentDB with MongoDB compatibility
12 April 2022, Database Trends and Applications

Introduction to Amazon DocumentDB With MongoDB Compatibility
19 October 2020, AiThority

provided by Google News

Google Cloud Launches New Postgres-Compatible Database, AlloyDB
11 May 2022, Datanami

How to migrate your user data from Google Firebase
24 May 2022, Security Boulevard

Rowy Takes on the Limits of Airtable with Low-Code Cloud Collaboration
2 May 2022, thenewstack.io

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

Kill some time waiting for Google I/O to start with its official pinball game
10 May 2022, Android Police

provided by Google News

Job opportunities

Senior Software Development Engineer, Amazon DocumentDB
Amazon.com Services LLC, Seattle, WA

Senior Product Manager Tech ES, Amazon DocumentDB
Amazon Dev Center U.S., Inc., East Palo Alto, CA

General Manager, DocumentDB
Amazon Dev Center U.S., Inc., Seattle, WA

Data Engineer III
American Express Global Business Travel, Seattle, WA

Software Development Engineer – DocumentDB (with MongoDB compatibility)
Amazon Dev Center U.S., Inc., Seattle, WA

Mobile Games Developer
HTC Global Services, Inc., Glendale, CA

Backend Engineer (Remote Worldwide)
Make, Remote

Data Engineer (open to remote)
Vida Health, San Francisco, CA

Front End Developer
Kiswe, New Providence, NJ

Front-End Software Development Engineer II
Zonar Systems, Seattle, WA

jobs by

Share this page