Community insights
Pros
Efficient Compression and Predictive Push Down Capabilities: Users have praised the Parquet file format for its efficient compression and predictive push down capabilities, allowing them to select only the necessary columns. Several reviewers have mentioned that this feature significantly improves processing efficiency when working with large datasets in an ETL pipeline for Hadoop.
Easy Connectivity with Other Platforms: Reviewers appreciate that Parquet files are easy to connect with other platforms, simplifying data integration tasks. Compared to formats like JSON or CSV, users find it easier to load and work with data in Parquet files. This benefit has been highlighted by multiple customers who found it useful for their data handling needs.
User-Friendly Column-Store Data Structure: The user-friendly nature of the column-store data structure in Parquet is highly regarded by several reviewers. They consider it as the best columnar storage option for their Hadoop system. This characteristic not only enhances performance but also offers numerous benefits in terms of query execution speed and overall usability.
Apache Parquet Reviews
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