Forum Discussion
Can we use Event stream instead of spark.read.stream function
Hi All,
We are planning to load streaming data into tables.Can we use event stream(from Fabric) instead of using spark.read.stream function.
is tehre any difference between those ?
Hi Raghumajji2108 ,
What is the source data, latency expectations? Purely it depends on use-case as we can choose component for specific requirement.
Spark - Streaming: Programmaticaly stream the data. I would prefer for medium to large size data.
Event Stream : It provides no-code/ low-code experience to stream data into eventhouse or lakehouse tables. You can leverage in-built transformations or sql code.
Eventhouse : Streaming Ingestion - programmatically stream your events to enthouse without using eventstream. I prefer for smaller size of data
Depending on your use case we have opt the right components.
Regards,
Srisakthi
3 Replies
- SrisakthiSuper User
Hi Raghumajji2108 ,
What is the source data, latency expectations? Purely it depends on use-case as we can choose component for specific requirement.
Spark - Streaming: Programmaticaly stream the data. I would prefer for medium to large size data.
Event Stream : It provides no-code/ low-code experience to stream data into eventhouse or lakehouse tables. You can leverage in-built transformations or sql code.
Eventhouse : Streaming Ingestion - programmatically stream your events to enthouse without using eventstream. I prefer for smaller size of data
Depending on your use case we have opt the right components.
Regards,
Srisakthi
- v-sgandrathiCommunity Support
Hi Raghumajji2108,
Thank you Srisakthi for your answer.
we haven't heard back from you regarding our last response and wanted to check if your issue has been resolved.
Should you have any further questions, feel free to reach out.
Thank you for being a part of the Microsoft Fabric Community Forum! - v-sgandrathiCommunity Support
Hi Raghumajji2108,
I wanted to follow up on our previous suggestions regarding the issue. We would love to hear back from you to ensure we can assist you further.
Thank you.