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Hasura VS Google Cloud PostgreSQL

Compare Hasura VS Google Cloud PostgreSQL and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Hasura logo Hasura

Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.

Google Cloud PostgreSQL logo Google Cloud PostgreSQL

Fully-managed database service
  • Hasura Landing page
    Landing page //
    2023-10-21
  • Google Cloud PostgreSQL Landing page
    Landing page //
    2023-09-29

Hasura features and specs

  • Real-Time Data
    Hasura provides built-in support for GraphQL subscriptions, allowing you to easily implement real-time data updates in your applications.
  • Auto-Generated APIs
    With Hasura, you can instantly generate a fully-functional, scalable GraphQL API from your existing databases without writing any code.
  • Authorization and Authentication
    Hasura provides granular authorization controls and integrates well with various authentication services, helping to secure your data access.
  • Microservices & Event Triggers
    Hasura allows you to create event-driven architectures by allowing you to trigger webhooks based on specified database events.
  • Scalability
    Designed for performance, Hasura can handle large-scale applications by optimizing database queries and offering load-balancing capabilities.
  • Multi-Data Source Support
    Hasura can connect to multiple data sources and databases, making it a versatile choice for complex architectures.
  • Developer Productivity
    The tool significantly reduces the time required for backend development, allowing developers to focus on building frontend features and improving user experience.
  • Community and Support
    Hasura has a growing community and offers comprehensive documentation, which can be invaluable for troubleshooting and getting the most out of the platform.

Possible disadvantages of Hasura

  • Complex Initial Setup
    Although Hasura simplifies many tasks, setting it up initially can be complex and may require a good understanding of both GraphQL and your underlying database.
  • Vendor Lock-In Concerns
    Depending heavily on Hasura can create vendor lock-in situations, making it difficult to switch technologies later without significant redevelopment effort.
  • Learning Curve
    Developers unfamiliar with GraphQL, event-driven architectures, or advanced database concepts may face a steep learning curve when adopting Hasura.
  • Limited Customization
    Some advanced use cases may require lower-level customizations not easily achievable through Hasuraโ€™s auto-generated APIs.
  • Performance Overhead
    Although optimized for performance, the additional layer Hasura introduces can still introduce latency, especially in highly complex queries.
  • Debugging Complexity
    Diagnosing issues can sometimes be complicated due to the number of components involved, including the database, Hasura, and the generated APIs.
  • Cost
    While Hasura offers a free tier, advanced features and enterprise-level support come at a cost, which can add up as your project scales.

Google Cloud PostgreSQL features and specs

  • Scalability
    Google Cloud PostgreSQL offers easy scalability for growing databases, allowing you to adjust resources like CPU and RAM without significant downtime.
  • Managed Service
    As a fully managed service, it reduces the overhead of database maintenance tasks such as backups, patching, and updates, allowing developers to focus on application development.
  • High Availability
    It provides high availability configurations with automated failover to ensure that your database is reliable and your application remains uninterrupted.
  • Security
    Offers strong security measures, including encryption at rest and in transit, and integration with Google Cloud's Identity and Access Management (IAM).
  • Integration
    Seamlessly integrates with other Google Cloud services, making it easier to build comprehensive cloud solutions.

Possible disadvantages of Google Cloud PostgreSQL

  • Cost
    The cost can become high compared to other options, especially if your database requirements grow significantly, leading to increased resource allocation.
  • Limited Customization
    Being a managed service, there may be limited ability to customize certain configurations compared to self-hosted PostgreSQL solutions.
  • Vendor Lock-in
    Using Google Cloud services can lead to dependency on their ecosystem, making it challenging to migrate to another platform or cloud provider in the future.
  • Latency
    While Google Cloud provides robust infrastructure, network latency can still be an issue, especially if the service is being accessed from geographically distant regions.
  • Complexity
    Navigating and configuring the myriad of available options in Google Cloud can be complex and requires a certain level of expertise, which might be burdensome for newcomers.

Hasura videos

+ Add

Scott Tries Hasura - A Realtime GraphQL API Builder

More videos:

  • Review - Evaluating Hasura
  • Review - The founder of Hasura teaching me about Hasura - FUN!

Google Cloud PostgreSQL videos

No Google Cloud PostgreSQL videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Hasura and Google Cloud PostgreSQL)

Hasura

Google Cloud PostgreSQL

GraphQL
100 100%
GraphQL
0% 0
Developer Tools
85 85%
Developer Tools
15% 15
Databases
0 0%
Databases
100% 100
Realtime Backend / API
100 100%
Realtime Backend / API
0% 0

User comments

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Social recommendations and mentions

Based on our record, Hasura seems to be a lot more popular than Google Cloud PostgreSQL. While we know about 123 links to Hasura, we've tracked only 7 mentions of Google Cloud PostgreSQL. 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.

Hasura mentions (123)

  • Boring on Purpose: Bold Moves in Internal Tooling
    A few years back, I decided to replace our spreadsheet-based host and service registries with a proper, Web-based asset registry. It took us a few days to hack together a simple system that we could use to track our infrastructure elements. It was not a big project -- just a simple app backed by a database, Hasura, and a React frontend. Since we were already using OpenID for authentication, it was easy for our... - Source: dev.to / about 1 year ago
  • Supabase Alternatives ๐Ÿ”„ in 2025 ๐Ÿ˜ผ
    Hasura is a neck-to-neck competitor to Supabase as a BaaS, but with a crucial difference: its GraphQL-first approach. Unlike Supabase, Hasura doesn't bundle database services, allowing it to work with virtually any database including Supabase's own Postgres, Neon, and others. - Source: dev.to / over 1 year ago
  • Automatically Generate REST and GraphQL APIs From Your Database
    Hasura and PostGraphile lead the PostgreSQL GraphQL landscape. Hasura provides real-time subscriptions and a powerful permissions system, while PostGraphile offers deep PostgreSQL integration and excellent performance for complex queries. - Source: dev.to / over 1 year ago
  • The Myth of GraphQL
    Here is an example data schema we get for a query using Hasura and GraphQL-Codegen. - Source: dev.to / over 1 year ago
  • Hasura CLI on NixOS: A Working Solution
    Hasura is a great tool. I was worried about a few things such as huge RAM consumption, excessive focus on new features and functions despite many outstanding issues, long time rewrite of the server in Rust, etc... - Source: dev.to / almost 2 years ago
View more

Google Cloud PostgreSQL mentions (7)

  • Kubernetes and Container Portability: Navigating Multi-Cloud Flexibility
    Google Cloud SQL for MySQL (for managed MySQL) or Google Cloud SQL for PostgreSQL (for managed PostgreSQL). - Source: dev.to / about 1 year ago
  • Top 8 Managed Postgres Providers
    This is Google's managed service for databases that makes it easier to set up, maintain, and manage PostgreSQL databases on Google Cloud. - Source: dev.to / almost 2 years ago
  • Questions about 'databaseing' on the Cloud
    For a small database you don't need Snowflake. You need Postgres or MySQL. Power BI for visualizing data seems fine. For entering data you can use Airforms. Source: almost 3 years ago
  • Distributed Managed PostgreSQL Database Alternatives in the Cloud
    PostgreSQL is an open-source relational database, used by many companies, and is very common among cloud applications, where companies prefer an open-source solution, supported by a strong community, as an alternative to commercial database engines. The simplest way to run the PostgreSQL engine in the cloud is to choose one of the managed database services, such as Amazon RDS for PostgreSQL or Google Cloud SQL... - Source: dev.to / over 3 years ago
  • Get data from Cloud SQL with Python
    For the database, I used Cloud SQL, which is a managed database service from Google Cloud Platform (GCP). This GCP product provides a cloud-based alternative to MySQL, PostgreSQL and SQL Server databases. The great advantage of Cloud SQL is that it is a managed service, that is, you do not have to worry about some tasks related to the infrastructure where the database will run, tasks such as backups, maintenance... - Source: dev.to / about 4 years ago
View more

What are some alternatives?

When comparing Hasura and Google Cloud PostgreSQL, you can also consider the following products

Supabase - An open source Firebase alternative

GraphQL - GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

Prisma - Art filters using artificial intelligence to transform your photos into classic artwork.

pREST - A fully RESTful API from any existing PostgreSQL database written in Go

Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.

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