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  5. FaunaDB vs Hasura

FaunaDB vs Hasura

OverviewComparisonAlternatives

Overview

Hasura
Hasura
Stacks343
Followers634
Votes144
GitHub Stars31.8K
Forks2.8K
Fauna
Fauna
Stacks112
Followers153
Votes27

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Detailed Comparison

Hasura
Hasura
Fauna
Fauna

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Escape the boundaries imposed by legacy databases with a data API that is simple to adopt, highly productive to use, and offers the capabilities that your business needs, without the operational pain typically associated with databases.

Stack-agnostic; Cloud-agnostic; Git push to deploy; Pre-configured API Gateway; Instant GraphQL or JSON APIs; Out-of-the-box Auth APIs with UI Kits; Filestore APIs with access control; Deploy custom code
Native support for GraphQL and others. Easily access any data with any API. No middleware necessary.; Access all data via a data model that best suits your needs - relational, document, graph or composite.; A unique approach to indexing makes it simpler to write efficient queries that scale with your application.; Build SaaS apps more easily with native multi-tenancy and query-level QoS controls to prevent workload collisions.; Eliminate data anomalies with multi-region ACID transactions that don't limit number of keys or documents.; Data-driven RBAC that combines with SSL to offers reliable protection, and yet is simple to understand and codify.; Travel back in time with temporal querying. Run queries at a point-in-time or as change feeds. Track how your data evolved.; Dynamically replicates your data to global locations, so that your queries run fast no matter where your users are.; Easily deploy a FaunaDB cluster on your workstation accompanied by a powerful shell and tools to simplify your workflow.;
Statistics
GitHub Stars
31.8K
GitHub Stars
-
GitHub Forks
2.8K
GitHub Forks
-
Stacks
343
Stacks
112
Followers
634
Followers
153
Votes
144
Votes
27
Pros & Cons
Pros
  • 23
    Fast
  • 18
    Easy GraphQL subscriptions
  • 16
    Easy setup of relationships and permissions
  • 15
    Minimal learning curve
  • 15
    Automatically generates your GraphQL schema
Cons
  • 3
    Cumbersome validations
Pros
  • 5
    100% ACID
  • 4
    Removes server provisioning or maintenance
  • 4
    Generous free tier
  • 3
    Also supports SQL, CQL
  • 3
    No more n+1 problems (+ GraphQL)
Cons
  • 1
    Must keep app secrets encrypted
  • 1
    Log stack traces to avoid improper exception handling
  • 1
    Susceptible to DDoS (& others) use timeouts throttling
Integrations
Kubernetes
Kubernetes
PostgreSQL
PostgreSQL
Docker
Docker
GraphQL
GraphQL
No integrations available

What are some alternatives to Hasura, Fauna?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

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