Group: Intel QAT

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Qat-Java is a data compression library that uses Intel® QAT to speed up compression.

Parquet is a columnar storage format that supports nested data. This provides all generated metadata code.

Parquet is a columnar storage format that supports nested data. This provides all generated metadata code.

Parquet is a columnar storage format that supports nested data. This provides the java implementation.

Parquet is a columnar storage format that supports nested data. This provides all generated metadata code.

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

Apache Parquet Encodings

Apache Parquet Hive 0.10 Binding

Apache Parquet Hive 0.12 Binding

Apache Parquet Thrift

Apache Parquet Hive Binding Bundle

Apache Parquet Hive Binding Factory

Apache Parquet Pig

A shim layer for supporting various versions of Hadoop dynamically. This module uses a higher version of Hadoop so that we can create shims that let us use new features of Hadoop without having a hard dependency on the latest version.

Apache Parquet Avro

Apache Parquet Cascading

Apache Parquet Hive Storage Handler

QAT Codec for Apache Carbondata

QAT Codec for Apache Hadoop

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.