Apache Airflow
Make.com
ifttt
Pushwoosh
Pipefy
Microsoft Power Automate
Kissflow
Process Street
CloudStack
OpenStack
Amazon EC2
OpenShift
Google Compute Engine
Hostwinds
Docker Compose
AlwaysData
Apache Airflow CloudStackApache Airflow is recommended for data engineers, data scientists, and IT professionals who need to automate and manage workflows. It is particularly suited for organizations handling large-scale data processing tasks, requiring integration with various systems, and those looking to deploy machine learning pipelines or ETL processes.
CloudStack is recommended for enterprises and service providers that need a customizable and scalable cloud solution. It is particularly suitable for those who require support for multiple hypervisors and need to integrate with existing infrastructure components. It is also ideal for organizations preferring open-source solutions with active community support.
Based on our record, Apache Airflow seems to be a lot more popular than CloudStack. While we know about 80 links to Apache Airflow, we've tracked only 1 mention of CloudStack. 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.
General orchestrators โ Airflow, Prefect, AWS Step Functions, Azure Logic Apps. These treat Each LLM call as just another task in a DAG, and give you the heavyweight reliability Machinery: durable state, scheduling, checkpointing, audit trails, human approval. - Source: dev.to / 3 days ago
There is a lot of stuff for Python which follows the "express computation as a dag" approach, especially Apache Airflow https://airflow.apache.org/. - Source: Hacker News / 10 months ago
Doing ingestion or data processing with Airflow, a very popular open-source platform for developing and running workflows, is a fairly common setup. DataHub's automatic lineage extraction works great with Airflow - provided you configure the Airflow connection to DataHub correctly. - Source: dev.to / 11 months ago
Apache Airflow represents the open-source workflow orchestration approach to MongoDB ETL. By combining Airflow's powerful scheduling and dependency management with a Python library like PyMongo, you can build highly customized ETL workflows that integrate seamlessly with MongoDB. - Source: dev.to / 11 months ago
You appear to be making the mistake of assuming that the only valid definition for the term "workflow" is the definition used by software such as https://airflow.apache.org/ https://www.merriam-webster.com/dictionary/workflow thinks the word dates back to 1921. There no reason Anthropic can't take that word and present their own alternative definition for it in the context of LLM tool usage, which is what they've... - Source: Hacker News / about 1 year ago
You could look at the Apache Cloudstack project Https://cloudstack.apache.org/index.html. Source: over 4 years ago
Make.com - Tool for workflow automation (Former Integromat)
OpenStack - OpenStack software controls large pools of compute, storage, and networking resources throughout a datacenter, managed through a dashboard or via the OpenStack API.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Amazon EC2 - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
Pushwoosh - Mobile-inspired customer engagement platform for high achievers
OpenShift - OpenShift gives you all the tools you need to develop, host and scale your apps in the public or private cloud. Get started today.