millboh

Excellent idea. We've though about Machine learning transformer including NLP . This NLG is something which would definitively nice to have. Please create an issue and we will prioritize it.

What kind of data source exactly do you need? We should be able to add Microsoft datasource such as MSSQL if you request it.

Thanks for your feedback, we will look for some affordable code-signing certificates. Any suggestions? By the way, here is the issue link: https://github.com/ananas-analytics/ananas-desktop/issues/61

Oh, sorry about that, my bad. I just looked through redash home page, but didn't find the open source link

Excel source was one of our first supported data sources. See our early video demo: https://www.youtube.com/watch?v=GwqZlhmei78. We just created an issue on GitHub: https://github.com/ananas-analytics/ananas-desktop/issues/60 We will add this feature back in the following release.

It seems that Redash is a BI tool and close source. Ananas is open source, and can be used not only as a BI tool, but also an ETL tool. More over, you can run your pipeline on your own infrastructure, as Ananas can be run on multiple execution engines

Ananas, Analytics made easy :) Pineapple was cool too. Will probably change it if we see more comments ;)

The API data source is a great idea! You can create a feature request on our github. (Otherwise we will create it ) We will try to put that into following releases.

Yep we expected anything but Github issue ;)

Actually, we provide a command-line interface, you can do pretty much everything the UI does with command-line. And you can also run it in server mode with command-line. In the current version, we haven't covered scheduling yet. A possible solution would be scheduling through Airflow BashOperator in airflow. Or we can implement scheduling solution into the server itself.

That's a good point. Actually we think of this tool as a collaboration tool which enables non technical users and data engineers to share this visual DAG and work together. The Apache Beam runners we use behind the scene have a Query planner to optimize chained queries . However you're totally right . This can't help a non technical users to write messy queries. The visual DAG should however helps them to split a complex query into simpler ones.

Thanks

Delighted that this is one of the first comments! :) The product was designed to make analytics easy. We found that the word Analytics is not easy to pronounce too. So we decided to make the word analytics easy too! But thanks for your comments, we will consider about it.