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Firestore VS OrbitDB

Compare Firestore VS OrbitDB and see what are their differences

Firestore logo Firestore

Easily develop rich applications using a fully managed, scalable, and serverless document database.

OrbitDB logo OrbitDB

OrbitDB is a serverless, distributed, peer-to-peer database.
Not present
  • OrbitDB Landing page
    Landing page //
    2023-09-26

Firestore features and specs

  • Scalability
    Google Cloud Datastore can automatically scale to handle large amounts of data and high read/write loads, making it suitable for applications with growing data needs.
  • Fully Managed
    As a fully managed service, Google Cloud Datastore eliminates the need for managing servers, software patches, and replication, allowing developers to focus on building applications.
  • High Availability
    Datastore provides strong consistency for reads and writes and is designed to maintain availability even in case of entire data center outages.
  • Flexible Data Model
    The schemaless nature of Datastore allows for a flexible data model that can easily adapt to changes in application requirements.
  • Integration with Google Cloud Platform
    Datastore seamlessly integrates with other Google Cloud Platform services, which simplifies the process of building end-to-end solutions.

Possible disadvantages of Firestore

  • Complex Query Language
    Datastore Query Language (GQL) can be less intuitive compared to SQL, which may pose a learning curve for developers accustomed to traditional relational databases.
  • Eventual Consistency for Queries
    While Datastore offers strong consistency for entity lookups by key, queries must be specifically configured for strong consistency, otherwise they might return eventually consistent data.
  • Cost
    As usage scales, costs can increase, particularly for applications with high write loads or those requiring many transactional operations, which might be a consideration for budget-conscious projects.
  • Limited Relational Capabilities
    Datastore is a NoSQL database, which means it lacks some of the relational features like joins and complex transactions that developers might expect from a SQL database.
  • Index Management
    Managing indexes can become complex, as every query in Datastore requires a corresponding index, and poorly planned indexes can lead to increased storage costs and slower query performance.

OrbitDB features and specs

  • Decentralization
    OrbitDB is a peer-to-peer database system built on top of IPFS, meaning it does not rely on a central server. This enhances data availability and resilience against censorship.
  • Offline-first Operation
    Since OrbitDB is built on IPFS, it can operate without a constant connection to the internet, allowing data access and changes even when offline.
  • Versioning and Immutability
    It provides built-in support for versioning and immutability of data, ensuring that historical records can be maintained and easily accessed.
  • Eventual Consistency
    OrbitDB uses eventual consistency, which means all nodes will eventually reach the same data state. This is suitable for applications tolerant to eventual consistency rather than immediate data consistency.
  • Community and Open Source
    As an open-source project, OrbitDB benefits from community contributions and transparency, allowing for improved security, auditing, and flexibility in modifications.

Possible disadvantages of OrbitDB

  • Complex Synchronization
    Handling data consistency and synchronization in a decentralized manner can be complex, which may result in increased development and maintenance efforts.
  • Performance Overhead
    Running on a peer-to-peer network can introduce performance overhead due to factors like data propagation delays and potential network instability.
  • Limited Ecosystem Support
    Compared to more established databases, OrbitDB has a more limited ecosystem of tools and integrations, potentially requiring more custom development work.
  • Learning Curve
    Developers may face a steeper learning curve due to the decentralized nature and unique characteristics of OrbitDB and IPFS.
  • Eventual Consistency Trade-offs
    While eventual consistency can be a pro, it also means that applications requiring strict immediate consistency could face challenges when using OrbitDB.

Analysis of Firestore

Overall verdict

  • Firestore is a robust, fully-managed NoSQL document database from Google Cloud that excels at real-time data synchronization, effortless scaling, and seamless integration with the broader Firebase and Google Cloud ecosystems, making it a strong choice for modern app development.

Why this product is good

  • Fully managed and serverless, eliminating the need for infrastructure provisioning and maintenance
  • Real-time data synchronization and offline support, ideal for responsive mobile and web apps
  • Automatic horizontal scaling to handle large numbers of concurrent users
  • Strong integration with Firebase Authentication, Cloud Functions, and other Google Cloud services
  • Flexible document-based data model with powerful querying capabilities
  • Robust security rules for fine-grained access control without a backend server
  • Multi-region replication offering high availability and strong consistency

Recommended for

  • Mobile and web app developers needing real-time updates and offline capabilities
  • Startups and teams wanting to move fast without managing database infrastructure
  • Applications already using Firebase or Google Cloud Platform
  • Projects with unpredictable or rapidly growing traffic requiring automatic scaling
  • Serverless architectures leveraging Cloud Functions and event-driven workflows
  • Collaborative and chat applications that benefit from live data synchronization

Firestore videos

Firestore v10: Setup & Free Tier in 4 Mins (2026)

More videos:

  • Review - Introduction to Firestore | NoSQL Document Database
  • Review - To Realtime or Not? | Get to know Cloud Firestore #10

OrbitDB videos

On Telemetry for InterPlanetary Systems (OrbitDB + IPFS)

Category Popularity

0-100% (relative to Firestore and OrbitDB)
Databases
51 51%
49% 49
NoSQL Databases
55 55%
45% 45
Network & Admin
50 50%
50% 50
Business & Commerce
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, OrbitDB should be more popular than Firestore. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Firestore mentions (3)

  • Announcing Brighter V10: A Major Release with Cloud Events, New Providers, and Enhanced Resilience
    Firestore for Inbox, Outbox, and Distributed Lock. - Source: dev.to / 10 months ago
  • Guide to modern app-hosting without servers on Google Cloud
    Your app must be stateless. Don't use embedded databases. When your users hit your app again, they may be reaching another instance in a completely different state. Persist data in cloud-based storage like GCS, Cloud SQL, or Cloud Firestore. - Source: dev.to / over 1 year ago
  • Introduction to true serverless databases
    Google Firestore is a serverless document database providing direct web, IoT, and mobile app development access. Itโ€™s highly scalable with no maintenance window and zero downtime. - Source: dev.to / almost 2 years ago
  • Using Google Cloud Firestore with Django's ORM
    A long time ago, a fork of Django called โ€œDjango-nonrelโ€ experimented with the idea of using Djangoโ€™s ORM with a non-relational database; what was then called the App Engine Datastore, but is now known as Google Cloud Datastore (or technically, Google Cloud Firestore in Datastore Mode). Since then a more recent project called "django-gcloud-connectors" has been developed by Potato to allow seamless ORM integration... - Source: dev.to / over 2 years ago
  • How to deploy flask app with sqlite on google cloud ?
    In that case use Cloud Datastore (aka Firestore in Datastore Mode). It's a NoSQL db that was initially targeted just for GAE (you needed to have a GAE App even if empty to use it) but that requirement has been relaxed. Source: over 3 years ago

OrbitDB mentions (7)

  • Show HN: TeaTime โ€“ static distributed library powered by SQLite, IPFS and GitHub
    > (I'm looking into using Helia so that users are also contributing nodes in the network) I had to look that term up I was reminded of https://github.com/orbitdb/orbitdb#readme which seems like it may be much less rolling your own parts. - Source: Hacker News / almost 2 years ago
  • How to make a crowdsourced distributed metadata database?
    Both use OrbitDB: Peer-to-Peer Databases for the Decentralized Web. JavaScript. MIT license. repo. Source: over 4 years ago
  • Release: New features for Nalli
    I think a wallet-agnostic memo solution is definitely the way. Having wallets that end up (partly) incompatible is only gonna hurt the UX. Maybe a decentralised DB solution like OrbitDB or GunDB can be the best way forward, although I haven't dove deeply into the docs yet. Source: over 4 years ago
  • Building a decentralized database
    Checkout this https://github.com/orbitdb/orbit-db peer-to-peer database for the decentralized Web. Source: over 4 years ago
  • Any suggestions to build a decentralized web app?
    I want to build a decentralized social media web app for a personal project, and I'm thinking on using IPFS. What tool, API, or library can get me set up without writing smart contracts or using blockchain solutions? I've heard that GunDB or OrbitDB are useful libraries- is that true? What are your thoughts and suggestions? Source: almost 5 years ago
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What are some alternatives?

When comparing Firestore and OrbitDB, you can also consider the following products

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Datomic - The fully transactional, cloud-ready, distributed database

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server

Datahike - A durable datalog database adaptable for distribution.

Matisse - Matisse is a post-relational SQL database.