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Alternatives

Products that do what Airflow is cool but have you tried this for data pipelines? does

  1. 1FH
  2. 2AC
  3. 3SL
  4. 4KO

    Hey HN, I'm really proud to share with you my new open source project: Kestra https://github.com/kestra-io/kestra I created a few years ago a successful open source AKHQ project: https://github.com/tchiotludo/akhq (renamed from KafkaHQ) which has been adopted by big companies like Best Buy, Pipedrive, BMW, Decathlon and many more. 2300 stars, 120 contributors, 10M docker downloads, much more than I expected. Now let's talk about Kestra, an infinitely scalable orchestration and scheduling platform for creating, running, scheduling and monitoring…

    2022 · github.com

  5. 5

    Write and deploy custom ETL pipelines in Python

    2018

  6. 6
    Nex350

    Claude Cowork for high-volume GTM workflows

    4d ago · nex.ai

  7. 7IB

    Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…

    2024 · github.com

  8. 8
    HFlow91

    Scalable multimodal data pipelines for robotics

    11d ago · github.com

  9. 9AI

    Hi HN, I’m Sean, the founder of Ascend.io (https://www.ascend.io). I’m really excited to post here and announce the launch of Ascend.io, a radical new way of designing, scaling, and automating data pipelines. Ascend is the result of nearly 4 years of development effort for a team that is now 30-strong, and I would love for you to give it a test drive and let me what you think. I’ve felt this pain since I wrote my first MapReduce in 2004 (using Sawzall @ Google), and in the 15 years since, things have not improved at the pace of other parts of the technology ecosystem. When I went…

    2019

  10. 10TZ

    2017 · gpestana.gitbooks.io

  11. 11
    pipe46

    Pipe coldpress datasets straight into your pipeline

    2024

  12. 12

    Build data pipelines, the easy way

    2022

  13. 13
    buildpipe116

    Compose, run and automate multi step AI developer workflows

    May 2026 · buildpipe.com

  14. 14FO
  15. 15PA
  16. 16OS

    Hey HN! We are building *open source infrastructure for deploying customer-facing data pipelines.* Here’s our repo https://github.com/pipebird/pipebird and website https://pipebird.com/. Pipebird (YC W22) is designed to enable companies that generate important data to offer secure data pushes to their customers’ warehouses, directly from their products. Our team was previously building in fintech, where we heard from many of our peers that their customers wanted data pushed directly to their warehouses. Customers wanted to bring data into their source of…

    2022 · github.com

  17. 17DF

    Hello Everyone! We built SQLFlow as a lightweight stream processing engine. We leverage DuckDB as the stream processing engine, which gives SQLFlow the ability to process 10's of thousands of messages a second using ~250MiB of memory! DuckDB also supports a rich ecosystem of sinks and connectors! https://sql-flow.com/docs/category/tutorials/ https://github.com/turbolytics/sql-flow We were tired of running JVM's for simple stream processing, and also of bespoke one off stream processors I would love your feedback, criticisms and/or…

    Dec 2025 · sql-flow.com

  18. 18PL
  19. 19VA
  20. 20BR
  21. 21AJ

    I have created a Cron alternative that runs DAGs (Directed acyclic graph) defined in a simple YAML format. Why not Airflow? Airflow and other similar tools are powerful and valuable, but in most cases, they require writing code to manage workflows. Our ETL pipeline is already hundreds of thousands of lines of complex code in Perl and shell scripts. Adding another layer of Python on top of this would make it difficult to maintain. Instead, we needed a more lightweight solution. So we developed Dagu, which requires no coding, and is easy-to-use and self-contained, making it ideal for smaller…

    2022 · github.com

  22. 22AR
  23. 23PP

    2015 · pipeglade.boundp.org

  24. 24WB

    Think Workflowy meets OSS with the plugin extensibility of Obsidian and beauty of Linear

    Jul 2026 · twitter.com

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