Apache Parquet

4.5
(3)

Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.

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Apache Parquet review by Consultant
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"Parquet is the Big Data solution"

What do you like best?

It is a widely adopted file format that works well with all big data applications.

What do you dislike?

I have no complaints about parquet. It's just a file format, much like CSVs. I guess one complaint is that you have to re-write your parquets to update their versions to get the latest parquet version benefits.

What business problems are you solving with the product? What benefits have you realized?

Big data analysis, ETL, etc.

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Apache Parquet review by User
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"Well-designed format for your data needs"

What do you like best?

I am impressed at how well-designed the file format is. Best for big data/data analysis.

What do you dislike?

It's a high learning curve. You have to think about the benefits versus the drawbacks

What business problems are you solving with the product? What benefits have you realized?

Data analysis and machine learning.

What Other Non-Relational Databases solution do you use?

Thanks for letting us know!
Apache Parquet review by Administrator
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"Apache Parquet"

What do you like best?

The way the parquet-format project contain specifications format and properly formatted.

What do you dislike?

The complex nature of the database for a simple project.

What business problems are you solving with the product? What benefits have you realized?

Building Java resources that actually work.

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