Whether Parquet files are better than CSV files depends on the specific use case and requirements. And also to who you will send the file!
When may .csv files be better than .parquet files?
CSV files are a simple and widely used file format for storing tabular data. They are easy to create and read and can be opened in various software applications, including spreadsheet programs. CSV files can be inefficient for processing large datasets, requiring reading the entire file to access a specific column.
When does .parquet could be better than .csv files?
On the other hand, Parquet files are optimized for processing large datasets and can be more efficient than CSV files for specific queries and analyses. They are designed to be used with distributed processing frameworks like Apache Hadoop and Apache Spark and can be compressed to reduce storage requirements and improve query performance.
Yes, it depends (like in SEO ;-))
To help you choose between either one of them, let me help you figure this one out! The thing you have to keep in mind would be: your target audience (Aka to who will you send this file)
If you are working with large datasets and need to perform complex queries and analyses, Parquet files may be better than CSV files.
If you are working with smaller datasets or need to share data with others who may need specialized software, CSV files may be a more practical choice.
Note that if you are still figuring this one out, you could still create both exports for your data (one in
.csvand the other one in.parquet)
