Differences between PowerBI and Stream Analytics for real-time dashboard

rnio — Mon, 16 May 2016 19:00:23 GMT

Hi,

I'm using PowerBI online with a profesionnal account. I read excellent articles about handling powerBI datasets through an API, that's awesome! 🙂

I need to insert data in a daily temp dataset to have dashboard in (real) real time (eg : Number of visits of the last 24h).However, I'm wondering about differences between using API vs using EventHub + Stream Analytics to insert the data in dataset in real-time.

I have several questions :
1/ What is the storage of the data uploaded in a dataset through the API ? Are they stored in a Azure SQL Database ?
2/ And what about the persitancy of these data ? Is there a scheduled drop of these data or these data are persistant ?
3/ Is there any limit on the API ? I hope the limits raised in the following post have been resolved (cf http://community.powerbi.com/t5/Service/Limits-when-using-Power-BI-REST-API-and-or-Azure-Stream/m-p/6367#M3242)

Thanks ! 🙂

Romain.

Re: Differences between PowerBI and Stream Analytics for real-time dashboard

Brian_M — Mon, 16 May 2016 20:17:50 GMT

As far as I understand, Stream Analytics just uses the same API you would use yourself if updating the data directly yourself via the API.

There's some information here regarding the retention policies, I think the standard retention is 200,000 rows,

https://powerbi.microsoft.com/en-us/blog/automatic-retention-policy-for-real-time-data/

Hope that helps

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Differences between PowerBI and Stream Analytics for real-time dashboard

Re: Differences between PowerBI and Stream Analytics for real-time dashboard