DBMS > Google Cloud Firestore vs. Oracle NoSQL

System Properties Comparison Google Cloud Firestore vs. Oracle NoSQL

Please select another system to include it in the comparison.

Our visitors often compare Google Cloud Firestore and Oracle NoSQL with MongoDB, Amazon DynamoDB and Cassandra.

Editorial information provided by DB-Engines

Name

Description

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.

A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes

Primary database model

Document store

Document store
Key-value store
Relational DBMS

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

Score	10.03
Rank	#49	Overall
	#8	Document stores

Score	4.38
Rank	#86	Overall
	#16	Document stores
	#14	Key-value stores
	#45	Relational DBMS

Website

firebase.google.com/products/firestore

www.oracle.com/database/technologies/related/nosql.html

Technical documentation

firebase.google.com/docs/firestore

docs.oracle.com/en/database/other-databases/nosql-database/index.html

Developer

Google

Oracle

Initial release

2017

2011

Current release

22.1, May 2022

License

Commercial or Open Source

commercial

Open Source

Proprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)

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

Java

Server operating systems

hosted

Linux
Solaris SPARC/x86

Data scheme

schema-free

Support Fixed schema and Schema-less deployment with the ability to interoperate between them.

Typing

predefined data types such as float or date

yes

optional

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

SQL-like DML and DDL statements

APIs and other access methods

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

RESTful HTTP API

Supported programming languages

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

C
C#
Go
Java
JavaScript (Node.js)
Python

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

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Electable source-replica replication per shard. Support distributed global deployment with Multi-region table feature

MapReduce

Offers an API for user-defined Map/Reduce methods

Using Cloud Dataflow

with Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

depending on configuration

Foreign keys

Referential integrity

Transaction concepts

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

yes

configurable

ACID within a storage node (=shard)

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

off heap cache

User concepts

Access control

Access 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 for users and roles

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

Becoming a Google Cloud-certified Professional Cloud Database Engineer
7 August 2022, EPAM

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

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

provided by Google News

Oracle and Microsoft Rolling Out Database Service for Azure
25 July 2022, Datamation

Oracle NoSQL database comes to the cloud
2 April 2020, TechTarget

Oracle NoSQL Database
28 March 2022, TechTarget

First look: Oracle NoSQL Database
16 November 2011, InfoWorld

University of Mauritius Develops Breast Cancer Awareness App with Support from Oracle
21 April 2022, Uganda

provided by Google News

Job opportunities

Senior Backend Engineer
Descartes Labs, Remote

Backend Engineer
Descartes Labs, Remote

Engineering Manager (Remote)
Andela - Third Party Job Board Only Postings, New York, NY

Senior Software Engineer, MileSplit
FloSports, Remote

Lead Software Engineer – Fantasy iOS Developer - ESPN
Disney Media & Entertainment Distribution, Bristol, CT

Front End Engineer
Avero, Remote

Data Engineer
Fisher Investments, Tampa, FL

UI Developer
Zachary Piper Solutions, Remote

Full Stack Developer
Dallas Morning News, Dallas, TX

Fullstack Java Developer
Pinnacle Technical Resources, Rutherford, NJ

jobs by

Share this page