![]() Saves on cloud storage space by using highly efficient column-wise compression, and flexible encoding schemes for columns with different data types.Good for storing big data of any kind (structured data tables, images, videos, documents).Supports complex data types and advanced nested data structures.Highly efficient data compression and decompression.Used for analytics (OLAP) use cases, typically in conjunction with traditional OLTP databases.Column-based format - files are organized by column, rather than by row, which saves storage space and speeds up analytics queries. ![]() ![]() It is similar to other columnar-storage file formats available in Hadoop, namely RCFile and ORC. It provides efficient data compression and encoding schemes with enhanced performance to handle complex data in bulk.Īpache Parquet is designed to be a common interchange format for both batch and interactive workloads. Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval.
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