Software Alternatives, Accelerators & Startups

React VS Dagster

Compare React VS Dagster and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

React logo React

A JavaScript library for building user interfaces

Dagster logo Dagster

The cloud-native open source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.
  • React Landing page
    Landing page //
    2023-04-19
  • Dagster Landing page
    Landing page //
    2023-03-22

React features and specs

  • Component-Based Architecture
    React encourages the creation of reusable UI components, which can be leveraged to build complex user interfaces efficiently. This promotes better code organization and separation of concerns.
  • Virtual DOM
    React uses a virtual DOM to optimize and accelerate the process of updating the browser’s DOM, significantly improving application performance.
  • Strong Community and Ecosystem
    React has a large and active community, which means plenty of third-party libraries, tools, and community support are readily available to assist developers.
  • JSX Syntax
    React’s JSX syntax allows developers to write HTML structures within JavaScript code, making the code more readable and easier to debug.
  • Unidirectional Data Flow
    React promotes a unidirectional data flow, which helps maintain the predictability and ease of debugging, especially for larger applications.
  • Extensive Documentation
    React's official documentation is comprehensive, well-organized, and provides numerous examples and tutorials to help developers get started and advance their skills.

Possible disadvantages of React

  • Steep Learning Curve
    React comes with a steep learning curve for beginners, especially those unfamiliar with JavaScript ES6 and JSX syntax.
  • Boilerplate Code
    Setting up a React project often requires boilerplate code, which can be cumbersome and time-consuming compared to simpler frameworks.
  • Fast-Paced Development
    React and its associated libraries evolve rapidly, necessitating frequent updates and learning new patterns, which can be overwhelming for developers.
  • Complexity in Larger Applications
    As a React application grows in size, managing state and props across components can become complex, sometimes necessitating additional state management libraries like Redux or Context API.
  • SEO Challenges
    React, being a JavaScript library, can present challenges for search engine optimization (SEO) due to Googlebot's limitations in executing JavaScript, although this can be mitigated with server-side rendering (SSR) or static site generation (SSG).

Dagster features and specs

  • Modular Design
    Dagster's modular architecture allows users to build reusable components, known as Solids and Dagsters, which promote organized and maintainable code.
  • Type Safety
    Dagster offers strong type safety, enabling users to define input and output types for all computations, reducing runtime errors and improving code reliability.
  • Integrated Scheduler
    Dagster includes a built-in scheduler, allowing for seamless workflow automation and easy management of recurring data processing jobs.
  • Rich Metadata
    Dagster provides extensive metadata for tracking the flow and results of data jobs, aiding in debugging and improving transparency in pipeline execution.
  • Interoperability
    The platform supports integrations with various tools, including Pandas, Spark, and dbt, enhancing its capability to work across different data ecosystems.
  • User Interface
    Dagster features a sophisticated web-based UI for visualizing pipelines and monitoring job runs, which enhances user experience and accessibility.

Possible disadvantages of Dagster

  • Learning Curve
    New users may find the framework's concepts and structure complex, leading to a steeper learning curve compared to simpler orchestration tools.
  • Limited Community Support
    Compared to more established tools, Dagster's community is smaller, potentially leading to less available third-party resources or slower responses to issues.
  • Integration Complexity
    While Dagster offers many integrations, configuring them can be complex and sometimes requires a deep understanding of both Dagster and the external tools.
  • Evolving Platform
    Being a relatively newer platform, Dagster is still evolving, which might lead to breaking changes or instability as it matures.

Analysis of React

Overall verdict

  • React is generally considered a good choice for developing modern web applications. Its performance, large community, extensive ecosystem, and ease of integration with other technologies make it a compelling option for many developers. However, whether it's the best choice depends on the specific requirements and constraints of your project.

Why this product is good

  • React is a popular JavaScript library for building user interfaces, particularly single-page applications where a dynamic and responsive interface is essential. It is maintained by Facebook and a community of individual developers and companies. React's component-based architecture allows for reusable and self-contained components, making development more efficient and scalable. Features like the Virtual DOM improve performance by updating only the necessary parts of the UI.

Recommended for

  • Developers looking to build interactive user interfaces
  • Projects requiring fast rendering and dynamic updates
  • Applications that will benefit from component reusability and maintainability
  • Teams interested in leveraging a rich ecosystem and community support
  • Projects intending to use React Native for mobile app development in conjunction

React videos

What Is React?

More videos:

  • Review - NOT Worth Buying? Nike EPIC REACT FLYKNIT 2 vs Epic React REVIEW
  • Review - NIKE REACT INFINITY RUN FLYKNIT REVIEW | The Ginger Runner

Dagster videos

Airflow Vs. Dagster: The Full Breakdown!

More videos:

  • Review - Dagster Data Orchestration 10 min walkthrough
  • Review - Apache Airflow vs. Dagster

Category Popularity

0-100% (relative to React and Dagster)
Javascript UI Libraries
100 100%
0% 0
Workflow Automation
0 0%
100% 100
Developer Tools
100 100%
0% 0
Data Integration
0 0%
100% 100

User comments

Share your experience with using React and Dagster. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare React and Dagster

React Reviews

Top JavaScript Frameworks in 2025
ReactJS is a JavaScript based UI development library which is developed by Facebook. It is an open-source framework which is widely used by developers for web development. One of the major reasons why React.JS is widely popular is because it uses Virtual DOM. This enables developers to create web applications faster.
Source: solguruz.com
The 20 Best Laravel Alternatives for Web Development
React’s the cool kid on the block, turning heads since Facebook dropped it at our feet. Building dynamic user interfaces feels less like coding, more like crafting with this JavaScript library.
Top 9 best Frameworks for web development
React uses a virtual DOM to optimize the performance of UI updates and follows a one-way data flow for easy tracking of data changes. With its active community and abundance of third-party resources and libraries, React is a solid choice for web development.
Source: www.kiwop.com
9 Best JavaScript Frameworks to Use in 2023
React can be used as a base in the development of single-page or mobile applications. However, React is concerned with rendering data to the DOM, so creating React apps usually requires additional libraries for state management, routing, and interaction with an API.
Source: ninetailed.io
JavaScript: What Are The Most Used Frameworks For This Language?
Some of its top features include server-side rendering, automatic code splitting, client-side routing, built-in CSS support, static site generation and API routes. Overall, Next.JS is a powerful and flexible framework that provides developers with a simple and intuitive way to build complex React applications with ease. It is widely used in the React community and has a...
Source: www.bocasay.com

Dagster Reviews

5 Airflow Alternatives for Data Orchestration
Dagster is an open-source data orchestration system that allows users to define their data assets as Python functions. Once defined, Dagster manages and executes these functions based on a user-defined schedule or in response to specific events. Dagster can be used at every stage of the data development lifecycle, from local development and unit testing to integration...
Top 8 Apache Airflow Alternatives in 2024
Unlike Airflow, which supports any production environment, Dagster concentrates on cloud services and supports modern data stacks. Being cloud-native and container-native, this solution makes the scheduling and execution processes easier. Dagster was created with such specific goals in mind: designing ETL data pipelines, implementing machine learning curves, and managing...
Source: blog.skyvia.com
10 Best Airflow Alternatives for 2024
Dagster is a Machine Learning, Analytics, and ETL Data Orchestrator. Since it handles the basic function of scheduling, effectively ordering, and monitoring computations, Dagster can be used as an alternative or replacement for Airflow (and other classic workflow engines).
Source: hevodata.com

Social recommendations and mentions

Based on our record, React seems to be a lot more popular than Dagster. While we know about 814 links to React, we've tracked only 5 mentions of Dagster. 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.

React mentions (814)

  • Indie Hacking with Open Source Tools: Innovating on a Budget
    One inspiring example is a developer building a "Todoist Clone" using a combination of React, Node.js, and MongoDB. The developer tapped into open source libraries and community support to create a highly responsive task management application. This project underscores how indie hackers can achieve rapid development and adaptation with minimal budget – a theme echoed in several indie hacking success stories. - Source: dev.to / 27 days ago
  • Next.js Localization: How to Build a Multilingual Website with Next-Intl
    Next.js is a very popular framework built on top of the React.js library and it provides the best Development Experience for building applications. It offers a bunch of features like:. - Source: dev.to / about 1 month ago
  • Web Development Using React Framework
    Explore the official React documentation. - Source: dev.to / about 2 months ago
  • Monorepo Tutorial With Lerna, Storybook & Next.js
    We’ll be creating the components package inside the packages directory. In this monorepo package, we’ll be building React components which will be consumed by our Next.js application (front-end package). - Source: dev.to / about 2 months ago
  • Migrating from AngularJS to React
    After evaluating our options including upgrading from AngularJS to Angular (the name for every version of Angular 2 and beyond) or migrating and rewriting our application in a completely new JavaScript framework: React. We ultimately chose to go with ReactJS. - Source: dev.to / about 2 months ago
View more

Dagster mentions (5)

  • Data Orchestration Tool Analysis: Airflow, Dagster, Flyte
    Data orchestration tools are key for managing data pipelines in modern workflows. When it comes to tools, Apache Airflow, Dagster, and Flyte are popular tools serving this need, but they serve different purposes and follow different philosophies. Choosing the right tool for your requirements is essential for scalability and efficiency. In this blog, I will compare Apache Airflow, Dagster, and Flyte, exploring... - Source: dev.to / 4 months ago
  • Data Engineering with DLT and REST
    This article demonstrates how to work with near real-time and historical data using the dlt package. Whether you need to scale data access across the enterprise or provide historical data for post-event analysis, you can use the same framework to provide customer data. In a future article, I'll demonstrate how to use dlt with a workflow orchestrator such as Apache Airflow or Dagster.``. - Source: dev.to / 6 months ago
  • How I've implemented the Medallion architecture using Apache Spark and Apache Hdoop
    Instead of the custom orchestrator I used, a proper orchestration tool should replace it like Apache Airflow, Dagster, ..., etc. - Source: dev.to / 12 months ago
  • AI Strategy Guide: How to Scale AI Across Your Business
    Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / about 1 year ago
  • What are some open-source ML pipeline managers that are easy to use?
    I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: about 2 years ago

What are some alternatives?

When comparing React and Dagster, you can also consider the following products

Vue.js - Reactive Components for Modern Web Interfaces

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Next.js - A small framework for server-rendered universal JavaScript apps

Kestra.io - Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.

Svelte - Cybernetically enhanced web apps

Prefect.io - Prefect offers modern workflow orchestration tools for building, observing & reacting to data pipelines efficiently.