Suggest an Idea

[Deepak1]

enable support for parquet for AWS S3 target.
Enabling support for parquet will help provide better solution for datalake users. Apache Parquet is open source file format. Parquet is designed for efficient as well as performant flat columnar storage format for data as compared to csv files. Parquet works much bette rand efficient with complex data in bulk and features efficient data compression and ecoding.

Please find a sample comparision between Parquet and CSV with AWS S3 in terms of savings and speed converting data in Parquet and CSV:

Dataset	AWS S3 Size	Query Time	Data Scanned	Cost ($)
Data stored as CSV	1 TB	250 seconds	1.15 TB	$6
Data stored as Parquet	130 GB	8 seconds	2.72 GB	0.03
Savings	87% less with parquet	34 times faster	99% less data scanning	99% more savings

[Shelley_Brennan]

Thank you for the suggestion.  We do have a similar Ideation post here that you can follow and be kept up to date on current status of support for Parquet file format for AWS S3 targets.  

https://community.qlik.com/t5/Suggest-an-Idea/Qlik-Replicate-parquet-output-format-for-S3-endpoint/i...