ORC is a self-describing type-aware columnar file format designed for Hadoop workloads. It is optimized for large streaming reads, but with integrated support for finding required rows quickly. Storing data in a columnar format lets the reader read, decompress, and process only the values that are required for the current query.

Spark SQL is Apache Spark's module for working with structured data based on DataFrames.

The core reader and writer for ORC files. Uses the vectorized column batch for the in memory representation.

A table format for huge analytic datasets

Milvus Spark Connector: spark-milvus-4.0-jvm_2.13

Milvus Spark Connector: spark-milvus-4.2-jvm_2.13

PyTorch GPU Linux distribution with CUDA support

Trino - ORC file format support

Flink ORC Nohive

Iceberg Replication Batch