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Apache Parquet is a columnar storage format optimized for use with big data processing frameworks. It offers efficient data compression and encoding schemes, which leads to significant storage savings and improved read performance.
Parquet is designed to support complex nested data structures and enables efficient querying and manipulation of specific columns without reading the entire dataset.
Parquet supports various compression algorithms such as Snappy, Gzip, and LZO. These compression techniques help in reducing the storage space and improving the performance of data processing tasks.
Our Parquet viewer allows you to visualize, query, and generate graphs from your data using AI. Load the data from your computer or cloud storage.
We support a variety of chart types. Create professional looking charts in seconds without code.