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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Parquet was developed to provide the benefits of efficient, compressed columnar data representation to all projects within the Hadoop ecosystem. Designed with a focus on accommodating complex nested data structures, Parquet employs the record shredding and assembly technique outlined in the Dremel paper, which we consider to be a more effective strategy than merely flattening nested namespaces. This format supports highly efficient compression and encoding methods, and various projects have shown the significant performance improvements that arise from utilizing appropriate compression and encoding strategies for their datasets. Furthermore, Parquet enables the specification of compression schemes at the column level, ensuring its adaptability for future developments in encoding technologies. It is crafted to be accessible for any user, as the Hadoop ecosystem comprises a diverse range of data processing frameworks, and we aim to remain neutral in our support for these different initiatives. Ultimately, our goal is to empower users with a flexible and robust tool that enhances their data management capabilities across various applications.

Description

Tad is an open-source desktop application available under the MIT License, designed specifically for the visualization and analysis of tabular data. This application serves as a swift viewer for various file types, including CSV and Parquet, as well as databases like SQLite and DuckDb, making it capable of handling large datasets efficiently. Acting as a Pivot Table tool, it facilitates in-depth data exploration and analysis. For its internal processing, Tad relies on DuckDb, ensuring rapid and precise data handling. It has been crafted to seamlessly integrate into the workflows of data engineers and scientists alike. Recent updates to Tad include enhancements to DuckDb 1.0, the functionality to export filtered tables in both Parquet and CSV formats, improvements in handling scientific notation for numbers, along with various minor bug fixes and upgrades to dependent packages. Additionally, a convenient packaged installer for Tad is accessible for users on macOS (supporting both x86 and Apple Silicon), Linux, and Windows platforms, broadening its accessibility for a diverse range of users. This comprehensive set of features makes Tad an invaluable tool for anyone working with data analysis.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Astera Dataprep Yes 
Data Sentinel Yes 
Gable Yes 
Google Sheets No 
Gravity Data Yes 
GribStream Yes 
Indexima Data Hub Yes 
Mage Platform Yes 
Mage Sensitive Data Discovery Yes 
Meltano Yes 
OpenObserve Yes 
PI.EXCHANGE Yes 
SSIS Integration Toolkit Yes 
StarfishETL Yes 
Streamkap Yes 
Tad Yes 
Tenzir Yes 
Tictable Yes 
Visplore Yes 
Warp 10 Yes 

Integrations

Astera Dataprep No 
Data Sentinel No 
Gable No 
Google Sheets Yes 
Gravity Data No 
GribStream No 
Indexima Data Hub No 
Mage Platform No 
Mage Sensitive Data Discovery No 
Meltano No 
OpenObserve No 
PI.EXCHANGE No 
SSIS Integration Toolkit No 
StarfishETL No 
Streamkap No 
Tad No 
Tenzir No 
Tictable No 
Visplore No 
Warp 10 No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

parquet.apache.org

Vendor Details

Company Name

Tad

Country

United States

Website

www.tadviewer.com

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Product Features

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