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Apache ORC logo Apache ORC Apache Parquet logo Apache Parquet

Attribute Apache ORC Apache Parquet
Name Apache ORC Apache Parquet
Description ORC is a self-describing type-aware columnar file format designed for Hadoop workloads. Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval.
License Apache license 2.0 Apache license 2.0
Source code https://github.com/apache/orc https://github.com/apache/parquet-format
Website https://orc.apache.org/ https://parquet.apache.org/
Year created 2013 2013
Company Hortonworks, Facebook Twitter, Cloudera
Language support java, scala, c++, python java, scala, c++, python, r, php
Use cases Write once read many, Analytics, Efficient storage, ACID transactions Write once read many, Analytics, Efficient storage, Column based queries
Is human readable
no
no
Orientation row column
Has type system
yes
yes
Has nested structure support
yes
yes
Has native compression
yes
yes
Has encoding support
yes
yes
Has constraint support
no
no
Has acid support
no
no
Has metadata
yes
yes
Has encryption support
yes
yes
Data processing framework support Apache Flink, Apache Gobblin, Apache Hadoop, Apache NiFi, Apache Pig, Apache Spark, Apache Beam, Apache Drill, Apache Flink, Apache Spark,
Analytics query support Apache Impala, Apache Druid, Apache Hive, Apache Pinot, AWS Athena, BigQuery, Clickhouse, Firebolt, Presto, Trino, Apache Hive, Apache Impala, Apache Druid, Apache Pinot, AWS Athena, Azure Synapse, BigQuery, Clickhouse, Dremio, DuckDB, Firebolt,