Do we need a third Apache project for columnar data representation?
One of the lead Arrow developers here (https://github.com/wesm). It's a little bit disappointing for me to see the Arrow project scrutinized through the one-dimensional lens of columnar storage for database systems -- i.e. considering Arrow to be an alternative technology (i.e. part of the same category of technologies) to Parquet and ORC.The reality (at least from my perspective, which is more informed by the data science and non-analytic database world) is that Arrow is a new, category defining technology. So you could choose to use it as a main memory storage format as an alternative for Parquet/ORC if you wanted, but that would be one possible use case for the technology, not the primary one.What's missing from the article is the role and relationship between runtime memory formats and storage formats, and the costs of serialization and data interchange, particularly between processes and analytics runtimes. There are also some small factual errors about Arrow in the article (for example, Arrow record batches are not limited to 64K in length).I will try to write a lengthier blog post on wesmckinney.com when I can going deeper into these topics to help provide some color for onlookers.