Based on our record, Apache Airflow seems to be a lot more popular than Ubidots. While we know about 75 links to Apache Airflow, we've tracked only 7 mentions of Ubidots. 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 hombrewing they use https://ubidots.com/ to read fermentation information. The device connects http outbound with a JSON payload. Source: over 2 years ago
I used to work in https://ubidots.com it’s also written in Django. Source: almost 3 years ago
But we don't want your data to live on Notehub! The most important part of the story is securely routing your data to any cloud endpoint. Take a look at our extensive Routing Tutorials and pick your favorite cloud, such as Ubidots, and create an engaging cloud dashboard to interpret your data:. - Source: dev.to / about 3 years ago
By using the "edge ML" capabilities provided by Edge Impulse, the cellular Notecard device-to-cloud data pump from Blues Wireless, a Raspberry Pi Zero 2 W, and an Ubidots dashboard, I was able to create a simple, low-power, thermal monitoring station with only a small bit of Python coding required 🐍. - Source: dev.to / about 3 years ago
While this is great to see, the next step was to configure a more functional cloud-based dashboard to view the incoming data in real time. To do so I created a route in Notehub to securely sync data with Ubidots. - Source: dev.to / over 3 years ago
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 / 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 / 4 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 / 6 months ago
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