Parquet Tools

Generate schemas and work with Apache Parquet columnar format

Parquet Schema Viewer

View and understand Parquet file schemas and metadata

About Apache Parquet

Apache Parquet is a columnar storage format designed for efficient data storage and retrieval. It provides high compression rates and fast query performance for analytical workloads.

Key Features:

  • Columnar Storage: Data stored by column for better compression
  • Schema Evolution: Add columns without rewriting files
  • Predicate Pushdown: Skip irrelevant data while reading
  • Compression: Multiple algorithms (Snappy, GZIP, LZO)
  • Complex Types: Support for nested data structures

Common Use Cases:

  • Data lakes and warehouses
  • Big data analytics with Spark/Hadoop
  • Long-term data archival
  • ETL pipelines
  • Machine learning datasets

Advantages:

FeatureBenefit
Columnar Format10-100x compression for analytical queries
Type-specific EncodingOptimal storage for each data type
Predicate PushdownRead only necessary data
Schema in FileSelf-describing format