apache/parquet-java

Health v2 · maintenance only

Adoption not part of the score

3076 stars · 1566 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Apache Parquet Java is the Java implementation of the Apache Parquet column-oriented data file format. It provides reading and writing of efficient, compressed columnar files with support for nested data via the Dremel record shredding and assembly algorithm.

Use cases

• read and write parquet files in Java
• convert JSON or CSV data to columnar parquet format
• store large analytical datasets with efficient compression
• query column chunks with predicate pushdown using column statistics
• integrate parquet support into a Hadoop or Spark pipeline
• handle nested and semi-structured data in a columnar file format

When to choose

• you are building a JVM-based data pipeline that needs parquet I/O
• you need efficient columnar storage with compression and encoding for bulk data
• you want a mature, Apache Software Foundation maintained implementation of the parquet format

When to avoid

• you need parquet support in Python, Rust, or another non-JVM language
• you only need a simple row-oriented file format like CSV or JSON
• your project cannot use Java 17 or higher

Facets

library · maturity active

serialization file-system compression big-data files analytics jvm cross-platform parquet columnar-format hadoop data-lake avro data-engineering

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