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Dagster VS Astronomer

Compare Dagster VS Astronomer and see what are their differences

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

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.

Astronomer logo Astronomer

Capture every user event and route them anywhere. Automatically
  • Dagster Landing page
    Landing page //
    2023-03-22
  • Astronomer Landing page
    Landing page //
    2023-05-08

Dagster videos

No Dagster videos yet. You could help us improve this page by suggesting one.

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Astronomer videos

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Astronomer Reviews Sci-Fi Movies, from 'Star Wars' to 'Guardians of the Galaxy' | Vanity Fair

More videos:

  • Review - Real NASA Astronomer Reviews Flat Earth Simulator • Professionals Play

Category Popularity

0-100% (relative to Dagster and Astronomer)

Dagster

Astronomer

Utilities
100 100%
Utilities
0% 0
Analytics
16 16%
Analytics
84% 84
Data Integration
53 53%
Data Integration
47% 47
Customer Data Integration
0 0%
Customer Data Integration
100% 100

User comments

Share your experience with using Dagster and Astronomer. For example, how are they different and which one is better?
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Reviews

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

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...
Source: www.kdnuggets.com
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

Astronomer Reviews

10 Best Airflow Alternatives for 2024
Astronomer acts as a layer for seamless integration with Apache Airflow. Without directly managing the infrastructure of Astronomer you can leverage the capabilities of Apache airflow, ensuring best designs and execution of data pipelines.
Source: hevodata.com

Social recommendations and mentions

Based on our record, Astronomer should be more popular than Dagster. It has been mentiond 4 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.

Dagster mentions (2)

Astronomer mentions (4)

  • I’ve just got a data engineering from BI developer role by transferring internally and I’m struggling
    A quick tip for airflow if you don't have a local install (and I heartily recommend a local install - astronomer.io has an easy to set up container). Source: over 1 year ago
  • Farnance: How Julian built a SaaS for farmers with Wasp and won a hackathon!
    Julian LaNeve is an engineer and data scientist who currently works at Astronomer.io as a Product Manager. In his free time, he enjoys playing poker, chess and winning data science competitions. - Source: dev.to / over 1 year ago
  • I am looking for a roadmap on getting into Data Engineering. I can't hope to follow the popular roadmap shared on this sub.
    Then load up docker, don't need to be a docker expert, just install docker desktop on windows or use linux. Go to astronomer.io and look at how to run airflow (cron++) in docker. Get that working. If you don't know python but do program in some language, you should be able to get up to speed on the basics pretty quickly. If you know python, it will be a breeze. Source: over 2 years ago
  • Finding the right workflow orchestration tool
    Hello guys, I am currently looking for the right orchestration to build a data pipeline composed of long running tasks (python scripts) among which some run in parallel. Although I was firstly hesitating between Apache Airflow and AWS Step functions, it appeared setting Airflow for production might be too complicated without using a way too expensive service meant for that intent( aws managed worflows or... Source: about 3 years ago

What are some alternatives?

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

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

Segment - We make customer data simple.

Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.

Birdly - Birdly is an expense management and expense report solution for SMBs.

Kedro - An open-source framework for data science code

PieSync - Seamless two-way sync between your CRM, marketing apps and Google in no time

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