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Hasura VS Devart Data Generator for MySQL

Compare Hasura VS Devart Data Generator for MySQL and see what are their differences

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Hasura logo Hasura

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

Devart Data Generator for MySQL logo Devart Data Generator for MySQL

Populate MySQL databases with massive volumes of random test data using dbForge Data Generator for MySQL. Download a trial version now!
  • Hasura Landing page
    Landing page //
    2023-10-21
  • Devart Data Generator for MySQL Landing page
    Landing page //
    2023-10-19

dbForge Data Generator for MySQL is a powerful GUI tool for creating massive volumes of realistic test data. The tool includes a large collection of predefined data generators with customizable configuration options that allow populating MySQL database tables with random data. You don't have to create your test data manually anymore - dbForge Data Generator for MySQL makes the data generation process easy and fast.

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 Hasura’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.

Devart Data Generator for MySQL features and specs

  • User-Friendly Interface
    Devart Data Generator for MySQL offers a clean, intuitive interface that simplifies the process of generating test data, making it accessible even for non-experts.
  • Wide Range of Data Generators
    The tool includes a comprehensive selection of built-in generators for different data types, allowing users to produce realistic and diverse datasets.
  • Customization Options
    Users can customize data generation with numerous configuration options to meet specific testing requirements, ensuring data relevance and accuracy.
  • Support for Complex Data Types
    The data generator supports complex MySQL data types, enabling the creation of sophisticated test environments that closely mimic real-world applications.
  • Integration with Other Devart Tools
    Integration with other Devart dbForge tools allows seamless workflows and enhances productivity for users already in the Devart ecosystem.

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!

Devart Data Generator for MySQL videos

No Devart Data Generator for MySQL videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Hasura and Devart Data Generator for MySQL)

Hasura

Devart Data Generator for MySQL

GraphQL
100 100%
GraphQL
0% 0
Database Tools
0 0%
Database Tools
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Databases
0 0%
Databases
100% 100

User comments

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Social recommendations and mentions

Based on our record, Hasura seems to be more popular. It has been mentiond 123 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.

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 / 3 days ago
  • Supabase Alternatives 🔄 in 2025 😼
    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 / 2 months 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 / 5 months ago
  • The Myth of GraphQL
    Here is an example data schema we get for a query using Hasura and GraphQL-Codegen. - Source: dev.to / 8 months 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 / 10 months ago
View more

Devart Data Generator for MySQL mentions (0)

We have not tracked any mentions of Devart Data Generator for MySQL yet. Tracking of Devart Data Generator for MySQL recommendations started around Mar 2021.

What are some alternatives?

When comparing Hasura and Devart Data Generator for MySQL, you can also consider the following products

Supabase - An open source Firebase alternative

Softbuilder SB Data Generator - SB Data Generator is a simple and powerful tool to generate and populate selected tables or entire databases with realistic test data.

How to GraphQL - Open-source tutorial website to learn GraphQL development

Dummi - The smart way to generate random data for your projects.

GraphQl Editor - Editor for GraphQL that lets you draw GraphQL schemas using visual nodes

Devart Data Generator for Oracle - dbForge Data Generator for Oracle is a comprehensive tool for populating Oracle schemas with massive volumes of test table data.

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