Why choose Apache Airflow over other tools? For Amogh Desai, Senior Software Engineer at Astronomer, it came down to two things: opportunity and community. Airflow’s evolving nature offered room for meaningful contributions, while its vibrant and welcoming community made it easier to get started. A guest speech by Yarik at a meetup further sparked his interest, showing how strong mentorship and guidance can pave the way for impactful open-source work. These factors not only drew Amogh to Airflow but also helped him make a lasting impact on the project. For the full episode, click the link in the comments below. #AI #Automation #Airflow #MachineLearning
Astronomer
Software Development
New York, NY 137,108 followers
Astronomer empowers data teams to bring mission-critical analytics, AI, and software to life.
About us
Astronomer empowers data teams to bring mission-critical analytics, AI, and software to life and is the company behind Astro, the industry-leading DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 700 of the world’s leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io Apache® and Apache Airflow® are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by the Apache Software Foundation is implied by the use of these marks. All other trademarks are the property of their respective owners.
- Website
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https://www.astronomer.io
External link for Astronomer
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- New York, NY
- Type
- Privately Held
- Founded
- 2018
Products
Astro
Data Science & Machine Learning Platforms
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and power data-driven applications. Trusted by more than 750 of the world’s leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io. Apache® and Apache Airflow® are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by the Apache Software Foundation is implied by the use of these marks. All other trademarks are the property of their respective owners.
Locations
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Primary
54 W 21st St
Floor 11
New York, NY 10010, US
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231 W 12th St
2e
Cincinnati, Ohio 45202, US
Employees at Astronomer
Updates
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❓: What does a top 5 global bank have in common with an investment firm with $1.5 trillion in managed assets? 🙋 : They’ve modernized their data stacks to support AI initiatives and power advanced analytics with real-time insights, while improving performance and reliability. Download this guide to learn the top 5 initiatives financial institutions are prioritizing with data orchestration and Apache Airflow. https://bit.ly/488XNw5
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Astronomer reposted this
Had the pleasure of meeting Benjamin Rogojan (The Seattle Data Guy) today, and he's every bit as genuine and insightful in person as he is online 💚. We grabbed coffee after his talk at the Airflow Summit and swapped war stories about our shared history with Hadoop and SQL Server 😅. It's fascinating how different companies are stuck in different eras of data infrastructure, some still fighting with problems we thought we'd solved years ago, while others are pushing the boundaries of what's possible. What struck me most: Ben has built an incredible presence in the data community, yet he remains incredibly grounded and generous with his time and knowledge. I've learned so much from his content over the years, and it was great to finally connect face-to-face. This whole experience reminded me why I love this community. From being part of Data Engineer Things, with contributing as an editor for the DET newsletter, to my work as a DevRel member at Astronomer, every step has reinforced one thing: The best part of data engineering isn't the technology; it's the people willing to share what they've learned so others don't have to struggle alone. Grateful to be part of such a collaborative community 🙏.
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Processing billions of geospatial data points is no small task. In “The Data Flowcast: Mastering Apache Airflow® for Data Engineering and AI,” Alex Iannicelli at Overture Maps Foundation and Daniel Smith at Wherobots share how Airflow orchestrates massive pipelines, ensuring scale, speed and efficiency in geospatial workflows. Click the link in the comments for the episode. #AI #Automation #Airflow #MachineLearning
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🍎 "With Astro IDE, I completed five or six hours of work in under an hour – exactly the kind of time savings data teams need. The code it generated was high-quality and production-ready from the start. Compared to generic AI tools, Astro IDE was miles ahead, with a deeper understanding of Airflow and the ability to ask the right questions. Even with our most complex DAGs, it was able to explain, transform, and adapt them with ease.” - Tim Handley, Chief Product and Technology Officer, Welbee Read the new case study to learn how Welbee's Edu Intelligence leverages Astro to cut data analysis time by 90%, enabling educators to focus on student and staff outcomes: https://bit.ly/4mSLyHv
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👩💻 Using dbt and Apache Airflow? Take the next step with Cosmos, the open-source package that brings your dbt projects into Airflow for better visibility, faster performance, and simpler orchestration. In this free eBook, you’ll learn how to: ✅ Set up Airflow + Cosmos for local development ✅ Deploy to Astro in minutes ✅ Improve parsing and execution performance Download today: https://bit.ly/4h29c2R
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☀️ Day 2 of Airflow Summit is off to a fast start with keynotes from Tala Karadsheh of GitHub and Brooke Jamieson from Amazon Web Services (AWS)! Day 1 was jam-packed with innovative presentations – what session are you most looking forward to today? https://airflowsummit.org/ #AirflowSummit
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Astronomer reposted this
OpenAI uses Apache Airflow 😳 Here are some key takeaways of the presentation 👇 Airflow is the backbone of OpenAI. They run over 7000 DAGs with thousands of tasks. At this scale, they had interesting challenges to solve: 🚨 Worker pods get restarted during deployment, killing tasks ➡️ They created a custom AirflowWorkerOperator that creates deployment revisions, pauses celery workers on old versions, and gracefully drains tasks before terminating pods—ensuring no task disruption during updates 🚨 Slow DAG synchronization over remote storage ➡️ They set up a daemon set called "dag roller" that downloads DAGs to local node storage, dramatically reducing parsing latency 🚨 Scaling limit per cluster ➡️ They split workloads by use case, each cluster having its own dedicated metadata DB, redis, and k8s cluster. Airflow 3's API-first approach now helps to solve that. They improved the developer experience by self-serving tooling: ✅ Built a CLI tool for local DAG testing without touching production ✅ Created custom backfill wrappers with guardrails to prevent cluster overload ✅ Deployed a Slack bot that investigates issues and provides quick summaries ✅ YAML-first DAGs approach to simplify common use cases I highly recommend watching the recording when available, You will love the talk! Enjoy ❤️ #airflow #apacheairflow #airflowsummit #dataengineer
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Astronomer reposted this
Watching OpenAI at the Airflow Summit in a standing-room-only presentation. Airflow has become “mission critical” for them. They are running 7000+ DAGs and growing!
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🤔 Wondering if the new Astro IDE already recognizes the latest Airflow 3.1 features? What about comparing Astro IDE's grasp of Airflow, versus other popular LLMs and coding agents like ChatGPT with gpt-5, Cursor with gpt-5, and Cursor with claude-4.5-sonnet? Tamara Janina Fingerlin dives into which of these solutions can help you write the best human-in-the-loop Apache Airflow DAG in her new blog post: https://bit.ly/3KLMf89
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