Cloudhooks
Make.com
Apache Airflow
Make.com
ifttt
Microsoft Power Automate
Pipefy
Pushwoosh
Kissflow
Process Street
Cloudhooks is the app for building webhook-based custom integrations for your store. It's an end-to-end platform for managing webhooks from a single place. Cloudhooks processes webhook requests, verifies signatures, stores payloads, and queues events. You can deploy javascript hooks responding to webhook events that make HTTP requests, connect to databases, send emails. Transform data and connect to APIs with a few lines of code.
Cloudhooks Apache AirflowNo Cloudhooks videos yet. You could help us improve this page by suggesting one.
Cloudhooks's answer
Shopify developers working on webhook-driven integrations between Shopify stores and SaaS applications using APIs.
Cloudhooks's answer
We initially created Cloudhooks as an in-house tool but our peers asked whether they could use it as well. Boom, we understood that there was a market for a tool like Cloudhooks.
Based on our record, Apache Airflow seems to be more popular. It has been mentiond 75 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.
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
Make.com - Tool for workflow automation (Former Integromat)
