Apache Arrow vs. Parquet and ORC: Do we really need a third Apache project for columnar data representation?
Apache Parquet and Apache ORC have become a popular file formats for storing data in the Hadoop ecosystem. Their primary value proposition revolves around their “columnar data representation format”. To quickly explain what this means: many people model their data in a set of two dimensional tables where each row corresponds to an entity, and each column an attribute about that entity. However, st
The Columnar Era: Leveraging Parquet, Arrow and Kudu for High-Performance Analytics
The Columnar Era: Leveraging Parquet, Arrow and Kudu for High-Performance Analytics 1) Columnar formats like Parquet, Kudu and Arrow provide more efficient data storage and querying by organizing data by column rather than row. 2) Parquet provides an immutable columnar format well-suited for storage, while Kudu allows for mutable updates but is optimized for scans. Arrow provides an in-memory colu
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