Azure Bot Service VS Apache Airflow

Azure Bot Service Reviews

Apache Airflow Reviews

Azure Bot Service mentions (6)

• 🎵 Do you want to build a Chatbot? 🎵

  Azure Bot Services are a way of integrating your chatbot into Microsoft's multi-channel bot interaction ecosystem. This allows your chatbot to connect to various channels including text, voice, Slack, Teams, web user interfaces, and Amazon Alexa skills. - Source: dev.to / over 1 year ago

• ChatGPT-like assistant for your business that’s trained on your own knowledge base data

  Check out Azure Chatbot services Https://azure.microsoft.com/en-us/products/bot-services. Source: over 1 year ago

• K-12 districts, what features are you using?

  One service that I used for a young crowd was the bot service. Easy to create then you train it. Easy subject that produces results fast. This helped with engagement. Training the bot got the creative juices flowing. https://azure.microsoft.com/en-us/services/bot-services/. Source: about 2 years ago

• Create a support contact for internal support

  If not maybe something custom with Az Bot Service could work. Source: about 2 years ago

• Searching for a ServiceDesk Chatbot

  Another option is Azure Bot Service (https://azure.microsoft.com/en-us/services/bot-services/). The framework itself is REALLY easy and only increases in complexity once you want to connect it to other systems (ie ticketing systems). Source: about 2 years ago

Apache Airflow mentions (65)

• The 2024 Web Hosting Report

  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

• Best ETL Tools And Why To Choose

  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

• Simplifying Data Transformation in Redshift: An Approach with DBT and Airflow

  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

• Share Your favorite python related software!

  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

• Ask HN: What is the correct way to deal with pipelines?

  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 / 8 months ago