For AWS, Azure, and GCP - Dremio can also query Iceberg tables in S3, GCS, and 
ADLS: 
https://docs.dremio.com/software/data-formats/apache-iceberg/  

On AWS, there is a fully managed solution where you can get started in a few 
clicks: https://www.dremio.com/platform/


> On Oct 20, 2022, at 1:14 PM, Austin Bennett <[email protected]> 
> wrote:
> 
> GCP -->
> 
> https://cloud.google.com/biglake <https://cloud.google.com/biglake>
> 
> Effectively BigQuery can read Iceberg.  
> 
> Also, see a video from last week's announcement:  
> https://www.youtube.com/watch?v=iQilh-PHDvs 
> <https://www.youtube.com/watch?v=iQilh-PHDvs> 
> 
> Cheers -
> 
> On Thu, Oct 20, 2022 at 3:15 PM Alexander Jo <[email protected] 
> <mailto:[email protected]>> wrote:
> Since you mentioned Athena, I throw in that the open source Trino connector 
> supports GCS and Azure.
> I know the documentation here says Hive, but it also works for Iceberg,
> - https://trino.io/docs/current/connector/hive-gcs-tutorial.html 
> <https://trino.io/docs/current/connector/hive-gcs-tutorial.html>
> - https://trino.io/docs/current/connector/hive-azure.html 
> <https://trino.io/docs/current/connector/hive-azure.html>
> 
> I'll also suggest Starburst Galaxy, which can be deployed in Azure/GCS and 
> provides a pretty out of the box experience like Athena does.
> https://www.starburst.io/platform/starburst-galaxy/ 
> <https://www.starburst.io/platform/starburst-galaxy/>
> On Thu, Oct 20, 2022 at 6:55 PM Micah Kornfield <[email protected] 
> <mailto:[email protected]>> wrote:
> 
> For Querying on GCP, BigQuery just recently announced preview support for 
> querying Iceberg tables (more docs should be getting published soon with 
> details).
> 
> On Wed, Oct 19, 2022 at 9:57 AM Ryan Blue <[email protected] 
> <mailto:[email protected]>> wrote:
> In addition to the native FileIO implementations, you can use any Hadoop 
> FileSystem with Iceberg through the default FIleIO implementation, 
> HadoopFileIO. If there's Hadoop support for a back-end, it'll just work.
> 
> The reason why we have direct implementations is that we can relax some of 
> the constraints and avoid a lot of requests just to ensure the FileSystem 
> abstraction is consistent. But you don't actually require a FileIO 
> implementation.
> 
> Ryan
> 
> On Wed, Oct 19, 2022 at 9:48 AM Eduard Tudenhoefner <[email protected] 
> <mailto:[email protected]>> wrote:
> For GCP you could use GCSFileIO 
> <https://github.com/apache/iceberg/blob/master/gcp/src/main/java/org/apache/iceberg/gcp/gcs/GCSFileIO.java#L49>
>  and for Azure there is an open PR 
> <https://github.com/apache/iceberg/pull/4465> to provide AzureFileIO.
> 
> On Wed, Oct 19, 2022 at 6:33 PM Kukreja, Tarun 
> <[email protected]> wrote:
> Hello,
> 
>  
> 
> I know, We can use Athena + S3 to work with Iceberg table.
> 
>  
> 
> Is there any such option available on Azure and GCP?
> 
>  
> 
> Regards,
> 
> Tarun Kukreja
> 
> +91-9910998689
> 
>  
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