Software Alternatives, Accelerators & Startups

Astronomer VS AWS Step Functions

Compare Astronomer VS AWS Step Functions and see what are their differences

Astronomer logo Astronomer

Capture every user event and route them anywhere. Automatically

AWS Step Functions logo AWS Step Functions

AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows.
  • Astronomer Landing page
    Landing page //
    2023-05-08
  • AWS Step Functions Landing page
    Landing page //
    2023-04-29

Astronomer videos

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

AWS Step Functions videos

Orchestrating Distributed Business Workflows with AWS Step Functions - AWS Online Tech Talks

More videos:

  • Review - AWS Step Functions: Parallelism and concurrency in Step Functions and AWS Lambda
  • Review - AWS Step Functions: Workflows for development and testing

Category Popularity

0-100% (relative to Astronomer and AWS Step Functions)
Analytics
100 100%
0% 0
Workflow Automation
30 30%
70% 70
Project Management
0 0%
100% 100
Automation
36 36%
64% 64

User comments

Share your experience with using Astronomer and AWS Step Functions. 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 Astronomer and AWS Step Functions

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

AWS Step Functions Reviews

Top 8 Apache Airflow Alternatives in 2024
This service suits for many use cases, such as building ETL pipelines, orchestrating microservices, and managing high workloads. AWS Step Functions is particularly efficient when combined with other AWS solutions: Lambda for computing, Dynamo DB for storage, Athena for Analytics, SageMaker for machine learning, etc.
Source: blog.skyvia.com
10 Best Airflow Alternatives for 2024
AWS Step Functions enable the incorporation of AWS services such as Lambda, Fargate, SNS, SQS, SageMaker, and EMR into business processes, Data Pipelines, and applications. Users and enterprises can choose between 2 types of workflows: Standard (for long-running workloads) and Express (for high-volume event processing workloads), depending on their use case.
Source: hevodata.com

Social recommendations and mentions

Based on our record, AWS Step Functions seems to be a lot more popular than Astronomer. While we know about 59 links to AWS Step Functions, we've tracked only 4 mentions of Astronomer. 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.

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

AWS Step Functions mentions (59)

  • Making Serverless 15x Cheaper
    ‍ Conventional serverless platforms require an expensive external orchestrator like AWS Step Functions to coordinate these steps, executing each in sequence and retrying them when they fail. By contrast, DBOS Cloud uses the reliable workflows built into open-source DBOS Transact to guarantee transactional execution for an application at no additional cost. - Source: dev.to / about 22 hours ago
  • Event-Driven Architecture on AWS
    Event Routers: Services like Amazon SQS (A managed message queuing), Amazon SNS (A pub/sub messaging), AWS Step Functions (An orchestrate serverless workflows) and Amazon EventBridge (A serverless event bus) act as event routers, establishing the paths and flow for messages within the architecture. They enable seamless handling and distribution of events, ensuring that each message reaches its intended destination... - Source: dev.to / about 1 month ago
  • Serverless Data Processor using AWS Lambda, Step Functions and Fargate on ECS (with Rust 🦀🦀)
    There are a few ways to solve this of course but one solution I wanted to explore is using AWS Step Functions (https://aws.amazon.com/step-functions/) to drive the whole process. Step Functions is a serverless workflow orchestration system. One part of it is support for a distributed map mode where you can run many parallel operations over a set of data. There are different approaches you can use to get the list... - Source: dev.to / 5 months ago
  • The Energy Drink Episodes 3: The Step Function Awakens
    If you have ever spoken to me, read anything I've written or listened to any talks I’ve done in relation to Serverless or infrastructure as code, there is a high likelihood that I have confessed my love for Step Functions. Even when unprompted. Putting my biases aside, however, there are some legitimate reasons we can consider using them in our app. If you are new to Step Functions or just fancy a refresher, have... - Source: dev.to / 6 months ago
  • Testing Serverless Applications on AWS
    For context; the web application is built with React and TypeScript which makes calls to an AppSync API that makes use of the Lambda and DynamoDB datasources. We use Step Functions to orchestrate the flow of events for complex processing like purchasing and renewing policies, and we use S3 and SQS to process document workloads. - Source: dev.to / 7 months ago
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What are some alternatives?

When comparing Astronomer and AWS Step Functions, you can also consider the following products

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

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

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.

n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.

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

Make.com - Tool for workflow automation (Former Integromat)