Fluix is a no-code, simple-to-use software solution that helps companies to digitize documents and automate routine tasks, all in one place.
We solve the pain-points of office and field teams who want to deliver faster and gather secure, reliable data while keeping safety and compliance as top priorities.
Fluix customers benefit from lightning-fast deployment, increased productivity, and a world-class Support team that always has your back. Developed from extensive use-case research, Fluix empowers companies around the world to further develop their competitive edge and keep everyone on the same page - without using paper!
Fluix is trusted by more than 400 companies in the US and the EU to power productivity and task efficiency with deployments exceeding 28,000 devices. The service scales from mid-size companies with agile teams to Fortune 500 corporations in construction, energy, aviation and facilities management, including BMW, Zurich Insurance, Centuri, Emerson, SAS, Roche, and Siemens Gamesa Renewable Energy among the largest ones.
Fluix's answer
Based on our record, Apache Airflow seems to be more popular. It has been mentiond 65 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.
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 3 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 6 months ago
Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 6 months ago
AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 7 months ago
I agree there are many options in this space. Two others to consider: - https://airflow.apache.org/ - https://github.com/spotify/luigi There are also many Kubernetes based options out there. For the specific use case you specified, you might even consider a plain old Makefile and incrond if you expect these all to run on a single host and be triggered by a new file... - Source: Hacker News / 7 months ago
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