Software Alternatives, Accelerators & Startups

EdgeDB VS Firestore

Compare EdgeDB VS Firestore and see what are their differences

EdgeDB logo EdgeDB

EdgeDB is a next-generation graph-relational database that lets you easily build flexible, scalable applications in real-time.

Firestore logo Firestore

Easily develop rich applications using a fully managed, scalable, and serverless document database.
  • EdgeDB Landing page
    Landing page //
    2023-10-10
Not present

EdgeDB features and specs

  • Graph-Relational Model
    EdgeDB combines the features of relational and graph databases, allowing for complex queries and relationships while maintaining data integrity typical in relational databases.
  • Advanced Query Language (EdgeQL)
    EdgeQL offers a more intuitive and expressive query syntax compared to traditional SQL, facilitating easier and more efficient data retrieval.
  • Schema Evolution
    EdgeDB provides robust tools for schema migrations and versioning, making it easier to evolve the database schema without downtime or data loss.
  • Type Safety
    With its strong typing system, EdgeDB reduces runtime errors by ensuring data type consistency across the database operations.
  • Integrated Indexing and Constraints
    EdgeDB supports advanced indexing and constraints, improving query performance and maintaining data integrity natively.

Possible disadvantages of EdgeDB

  • Relative Newness
    Being relatively new in the market, EdgeDB might lack extensive community support and third-party integrations compared to more established databases.
  • Learning Curve
    Technicians accustomed to traditional SQL or other database paradigms might face a learning curve when adapting to EdgeDB's unique features and query language.
  • Limited Ecosystem
    EdgeDB's ecosystem, including tooling, documentation, and community resources, is less mature compared to other well-established database systems.
  • Potential for Rapid Changes
    As a developing technology, EdgeDB may undergo rapid changes and updates, which may lead to instability or additional maintenance overhead.
  • Hosting and Compatibility Concerns
    Deploying EdgeDB might have specific hosting requirements, and compatibility with existing infrastructure could be a concern for some users.

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.

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

EdgeDB videos

Checking out EdgeDB - The Developer Database (Better than Prisma ORM?!)

More videos:

  • Review - EdgeDB 2.0 Launch
  • Review - The architecture of EdgeDB โ€”ย Fantix King | EdgeDB Day

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

Category Popularity

0-100% (relative to EdgeDB and Firestore)
Databases
41 41%
59% 59
NoSQL Databases
42 42%
58% 58
Network & Admin
49 49%
51% 51
Relational Databases
100 100%
0% 0

User comments

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Social recommendations and mentions

EdgeDB might be a bit more popular than Firestore. We know about 4 links to it since March 2021 and only 3 links to Firestore. 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.

EdgeDB mentions (4)

  • Beyond SQL: A relational database for modern applications
    A new DB, with a new query language that's like "SQL done right"? This immediately reminded me of EdgeDB: https://edgedb.com/ Is there anyone here who knows enough about these two products to do a compare/contrast? - Source: Hacker News / about 3 years ago
  • Beyond SQL: A relational database for modern applications
    See also https://edgedb.com/ which is another relational database without sql. - Source: Hacker News / about 3 years ago
  • DuckDB 0.8.0
    >relational no-sql Do you mean something like edgeDB?[0] Or do you mean some non-declarative language completely? I don't see the latter making much sense. The issue with SQL for me is the "natural language" which quickly loses all intended readabilty when you have SELECT col1, col2 FROM (SELECT * FROM ... WHERE 1=0 AND ... Which is what edgeDB is trying to solve. [0]https://edgedb.com/. - Source: Hacker News / over 3 years ago
  • GraphQL Is a Trap?
    You have to do your own optimiser to avoid, for instance, the N+1 query problem. (Just Google that, plenty of explanations around.) Many GraphQL frameworks have a โ€œnaiveโ€ subquery implementation that performs N individual subqueries. You either have to override this for each parent/child pairing, or bolt something on the back to delay all the โ€œSELECT * FROM tbl_subquery WHERE id = ?โ€ operations and convert them... - Source: Hacker News / over 4 years ago

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

What are some alternatives?

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

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

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

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.

Oracle TimesTen - TimesTen is an in-memory, relational database management system with persistence and...