Name Apache ORC
Apache Hudi
Description ORC is a self-describing type-aware columnar file format designed for Hadoop workloads.
Apache Hudi is a transactional data lake platform that brings database and data warehouse capabilities to the data lake. Utilises data stored in either parquet or orc.
License Apache license 2.0
Apache license 2.0
Source code https://github.com/apache/orc https://github.com/apache/hudi
Website https://orc.apache.org/ https://hudi.apache.org/
Year created 2013
2016
Company Hortonworks, Facebook
Uber
Language support java, scala, c++, python
Use cases Write once read many, Analytics, Efficient storage, ACID transactions
Incremental data processing, Data upserts, Change Data Capture (CDC), ACID transactions
Is human readable no
no
Orientation row column or 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
yes
Has acid support no
yes
Has metadata yes
yes
Has encryption support yes
maybe
Data processing framework support
Apache Flink,
Apache Gobblin,
Apache Hadoop,
Apache NiFi,
Apache Pig,
Apache Spark,
Apache Spark,
Apache Flink,
Analytics query support
Apache Impala,
Apache Druid,
Apache Hive,
Apache Pinot,
AWS Athena,
BigQuery,
Clickhouse,
Firebolt,
Presto,
Trino,
Apache Hive,
Apache Impala,
AWS Athena,
BigQuery,
Clickhouse,
Presto,
Trino,
Apache ORC
Apache Hudi