Dec 26, 2022 · ORC and Parquet are widely used in the Hadoop ecosystem to query data, ORC is mostly used in Hive, and Parquet format is the default format for ...
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Oct 26, 2022 · Parquet is generally better for write-once, read-many analytics, while ORC is more suitable for read-heavy operations. ORC is optimized for Hive ...
A Comparative Analysis of Avro, Parquet, and ORC - LinkedIn
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May 16, 2023 · To jest it up, Avro is ideal for real-time streaming and data serialization, Parquet excels in analytical workloads with columnar processing, ...
Sep 17, 2023 · ORC has better compression rates than Parquet, especially for numeric data. It also has lightweight indexes stored within the file, which can ...
Jan 17, 2024 · Avro is a row-based file format with its own unique strengths. While it doesn't compress data as efficiently as Parquet or ORC, it makes up for ...
Apr 24, 2024 · ORC is faster on Trino than Parquet (or at least it was a couple of years ago), so I tended to do most of my stuff on ORC. Parquet is the ...
Jan 30, 2024 · ORC is best for highly structured data and offers high performance and efficient storage. Avro is a versatile format that supports both ...
Dec 31, 2019 · About the compression, its proven that PARQUET and ORC can be more compressed than AVRO . ... Parquet compression performance grouped vs flat data.
Oct 3, 2017 · The biggest difference is that Avro is row oriented (data is stored row by row) while Parquet is column oriented (data is stored by column).
Feb 28, 2023 · Compared to Parquet and ORC it seems that it offers less efficient compression but faster write speeds. 10 Mb Parquet compressed with SNAPPY ...