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Apache Parquet logo Apache Parquet Apache ORC logo Apache ORC

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