Apache Parquet is a columnar storage file format designed for big data processing frameworks. It optimizes data compression and encoding, significantly reducing storage space and enhancing performance for read-heavy operations. Parquet is compatible with various data processing tools like Apache Hadoop and Apache Spark, making it especially beneficial for data engineers and analysts involved in large-scale data analytics tasks. Its efficiency in handling complex data structures allows for faster query performance and improved data retrieval.