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Based on our record, Apache Airflow seems to be a lot more popular than Apache OpenWhisk. While we know about 75 links to Apache Airflow, we've tracked only 7 mentions of Apache OpenWhisk. 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.
Is this really true? Something that can be supported by clear evidence? I’ve seen this trotted out many times, but it seems like there are interesting Apache projects: https://airflow.apache.org/ https://iceberg.apache.org/ https://kafka.apache.org/ https://superset.apache.org/. - Source: Hacker News / about 2 months ago
Apache Airflow offers simplicity when it comes to scheduling, authoring, and monitoring ML workflows using Python. The tool's greatest advantage is its compatibility with any system or process you are running. This also eliminates manual intervention and increases team productivity, which aligns with the principles of Platform Engineering tools. - Source: dev.to / 3 months ago
Data orchestration tools are key for managing data pipelines in modern workflows. When it comes to tools, Apache Airflow, Dagster, and Flyte are popular tools serving this need, but they serve different purposes and follow different philosophies. Choosing the right tool for your requirements is essential for scalability and efficiency. In this blog, I will compare Apache Airflow, Dagster, and Flyte, exploring... - Source: dev.to / 3 months ago
Data pipelines: Apache Kafka and Airflow are often used for building data pipelines that can continuously feed data to models in production. - Source: dev.to / 4 months ago
This article demonstrates how to work with near real-time and historical data using the dlt package. Whether you need to scale data access across the enterprise or provide historical data for post-event analysis, you can use the same framework to provide customer data. In a future article, I'll demonstrate how to use dlt with a workflow orchestrator such as Apache Airflow or Dagster.``. - Source: dev.to / 5 months ago
Serverless functions are now offered by many cloud providers, as well as having options like OpenFaaS, Knative, Apache's Openwhisk and more from the open source community that run in environments ranging from one server all the way up to globally replicated private clusters. - Source: dev.to / about 1 year ago
The serverless functions with Digital Ocean are based on Apache Open Whisk, so the service has additional name space, which need to go into the URL. - Source: dev.to / over 2 years ago
The two biggest options are OpenWhisk and OpenFaas. Check out /r/serverless for more options. I'm experimenting currently with OpenFaas as it's the lighter weigh to of the two. Source: over 2 years ago
If you meant lambda for cloud functions provided by Amazon then this is open source and free, as long as you host it yourself: https://openwhisk.apache.org/. Source: over 2 years ago
Not necessarily an orchestrator, but you could take a look at https://openwhisk.apache.org/ it's like AWS Lambdas but for kubernetes (and open shift if you swing that way). Haven't used it personally, but the reading I've done on it suggests you could probably use it for this. Source: about 3 years ago
Make.com - Tool for workflow automation (Former Integromat)
Dkron - Easy, Reliable Cron jobs A distributed Cron service with, API, no SPOF and an easy to use dashboard.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Azure Functions - Azure Functions is a serverless event driven experience that extends the existing Azure App Service platform.
Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.
Knative - Knative provides a set of components for building modern, source-centric, and container-based applications that can run anywhere.