Audience

Individuals requiring a columnar storage solution available to any project in the Hadoop ecosystem

About Apache Parquet

We created Parquet to make the advantages of compressed, efficient columnar data representation available to any project in the Hadoop ecosystem. Parquet is built from the ground up with complex nested data structures in mind, and uses the record shredding and assembly algorithm described in the Dremel paper. We believe this approach is superior to simple flattening of nested namespaces. Parquet is built to support very efficient compression and encoding schemes. Multiple projects have demonstrated the performance impact of applying the right compression and encoding scheme to the data. Parquet allows compression schemes to be specified on a per-column level, and is future-proofed to allow adding more encodings as they are invented and implemented. Parquet is built to be used by anyone. The Hadoop ecosystem is rich with data processing frameworks, and we are not interested in playing favorites.

Integrations

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Company Information

The Apache Software Foundation
Founded: 1999
United States
parquet.apache.org

Videos and Screen Captures

Apache Parquet Screenshot 1
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Product Details

Platforms Supported
Windows
Mac
Linux
Training
Documentation
Webinars
Videos
Support
Online

Apache Parquet Frequently Asked Questions

Q: What kinds of users and organization types does Apache Parquet work with?
Apache Parquet works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Apache Parquet support in their product?
Apache Parquet supports these languages: English.
Q: What kind of support options does Apache Parquet offer?
Apache Parquet offers support via online.
Q: What other applications or services does Apache Parquet integrate with?
Apache Parquet integrates with: APERIO DataWise, Arroyo, Autymate, Blotout, Data Sentinel, e6data, Flyte, Gravity Data, Hadoop, IBM Db2 Event Store, Mage Sensitive Data Discovery, Indexima Data Hub, Meltano, Mage Platform, PI.EXCHANGE, PuppyGraph, Amazon SageMaker Data Wrangler, SSIS Integration Toolkit, StarfishETL, 3LC, Timbr.ai, Timeplus, Tonic Ephemeral, and Warp 10 and more.
Q: What type of training does Apache Parquet provide?
Apache Parquet provides training in the form of documentation, webinars, and videos.

Apache Parquet Product Features