CSV and Parquet are both file formats for storing data, but they differ in several ways:
    • Storage structure

      CSV files are row-oriented, while Parquet files are column-oriented. In a CSV file, each line is a record, and each record is made up of fields separated by commas. In a Parquet file, data is stored in columns. 

    • Compression

      Parquet’s columnar structure allows for better compression, which results in smaller file sizes. 

  • Performance

    Parquet is better suited for analytical workloads, while CSV is better for OLTP workloads. Parquet is efficient for write-once, read-many analytics, and supports data skipping. 

  • Ease of use

    CSV is simple and widely used, and is found in Excel and Google Sheets. Accurate CSV formatting is important for data reliability and manipulation. 

  • Origin

    Parquet was developed in 2013 by Twitter and Cloudera.