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  1. Stackups
  2. Application & Data
  3. NoSQL Databases
  4. NOSQL Database As A Service
  5. Cloud Firestore vs Firebase Realtime Database

Cloud Firestore vs Firebase Realtime Database

OverviewComparisonAlternatives

Overview

Cloud Firestore
Cloud Firestore
Stacks751
Followers900
Votes112
Firebase Realtime Database
Firebase Realtime Database
Stacks107
Followers229
Votes7

Cloud Firestore vs Firebase Realtime Database: What are the differences?

Introduction:

Cloud Firestore and Firebase Realtime Database are both NoSQL database services provided by Google for building web and mobile applications. While they have similar functionalities, there are key differences between the two that developers should consider based on their specific project requirements.

  1. Data Structure: Cloud Firestore uses a collections and documents model to organize data, allowing for more structured storage and querying capabilities. On the other hand, Firebase Realtime Database is a JSON-based database where data is stored as a single large JSON tree, providing flexibility but less query power.

  2. Scaling: Cloud Firestore automatically scales horizontally to handle larger datasets and higher read and write rates, making it suitable for large-scale applications. Firebase Realtime Database, on the other hand, is optimized for real-time syncing of smaller datasets and may have limitations when dealing with larger datasets.

  3. Transactions: Cloud Firestore supports atomic transactions for read and write operations across multiple documents or collections, ensuring consistency and integrity. Firebase Realtime Database lacks built-in support for multiple-document transactions, making it challenging to achieve atomic updates on related data.

  4. Offline Support: Cloud Firestore provides built-in offline support, allowing users to read and write data even when the device is offline. The changes are automatically synchronized to the server when the device is back online. Firebase Realtime Database also offers offline persistence but with some limitations, such as not supporting offline queries and limited cache size.

  5. Querying: Cloud Firestore provides more advanced querying capabilities with support for compound queries, logical operators, and filtering on multiple fields. Firebase Realtime Database, on the other hand, only supports basic querying by a single field value.

  6. Pricing Model: Cloud Firestore has a different pricing model based on the number of document reads, writes, deletes, and network egress, which can be more cost-effective for certain use cases. Firebase Realtime Database, on the other hand, charges based on the amount of data stored, download, and upload traffic.

In summary, Cloud Firestore and Firebase Realtime Database differ in their data structure, scaling capabilities, transaction support, offline functionality, querying capabilities, and pricing model. Developers should choose the one that best fits their application's requirements and trade-offs between these factors.

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Detailed Comparison

Cloud Firestore
Cloud Firestore
Firebase Realtime Database
Firebase Realtime Database

Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.

It is a cloud-hosted NoSQL database that lets you store and sync data between your users in realtime. Data is synced across all clients in realtime, and remains available when your app goes offline.

Documents and collections with powerful querying;iOS, Android, and Web SDKs with offline data access;Real-time data synchronization;Automatic, multi-region data replication with strong consistency;Node, Python, Go, and Java server SDKs
Real time syncing for JSON data;Collaborate across devices with ease;Build serverless apps;Optimized for offline use;Strong user-based security
Statistics
Stacks
751
Stacks
107
Followers
900
Followers
229
Votes
112
Votes
7
Pros & Cons
Pros
  • 15
    Cloud Storage
  • 15
    Easy to use
  • 12
    Realtime Database
  • 12
    Easy setup
  • 9
    Super fast
Cons
  • 8
    Doesn't support FullTextSearch natively
Pros
  • 7
    Very fast
  • 0
    Casandra
Cons
  • 2
    Poor query
Integrations
Golang
Golang
Node.js
Node.js
Java
Java
Python
Python
Firebase
Firebase
Cloud Functions for Firebase
Cloud Functions for Firebase
Google Cloud Functions
Google Cloud Functions
C++
C++
iOS
iOS
Unity
Unity
Firebase Authentication
Firebase Authentication
Android OS
Android OS
Cloud Functions for Firebase
Cloud Functions for Firebase

What are some alternatives to Cloud Firestore, Firebase Realtime Database?

Amazon DynamoDB

Amazon DynamoDB

With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.

Azure Cosmos DB

Azure Cosmos DB

Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.

Cloudant

Cloudant

Cloudant’s distributed database as a service (DBaaS) allows developers of fast-growing web and mobile apps to focus on building and improving their products, instead of worrying about scaling and managing databases on their own.

Google Cloud Bigtable

Google Cloud Bigtable

Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.

Google Cloud Datastore

Google Cloud Datastore

Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.

CloudBoost

CloudBoost

CloudBoost.io is a database service for the “next web” - that not only does data-storage, but also search, real-time and a whole lot more which enables developers to build much richer apps with 50% less time saving them a ton of cost and helping them go to market much faster.

restdb.io

restdb.io

RestDB is a NoSql document oriented database cloud service. Data is accessed as JSON objects via HTTPS. This gives great flexibility, easy system integration and future compatibility.

Amazon DocumentDB

Amazon DocumentDB

Amazon DocumentDB is a non-relational database service designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data.

Amazon SimpleDB

Amazon SimpleDB

Developers simply store and query data items via web services requests and Amazon SimpleDB does the rest. Behind the scenes, Amazon SimpleDB creates and manages multiple geographically distributed replicas of your data automatically to enable high availability and data durability. Amazon SimpleDB provides a simple web services interface to create and store multiple data sets, query your data easily, and return the results. Your data is automatically indexed, making it easy to quickly find the information that you need. There is no need to pre-define a schema or change a schema if new data is added later. And scale-out is as simple as creating new domains, rather than building out new servers.

Datomic Cloud

Datomic Cloud

A transactional database with a flexible data model, elastic scaling, and rich queries. Datomic is designed from the ground up to run on AWS. Datomic leverages AWS technology, including DynamoDB, S3, EFS, and CloudFormation to provide a fully integrated solution.

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