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What is Tad?

Tad is a desktop application that is open-source and licensed under the MIT License, specifically crafted for the visualization and analysis of tabular data. This tool acts as a quick viewer for multiple file formats, such as CSV and Parquet, and also accommodates databases like SQLite and DuckDb, which allows it to manage extensive datasets with ease. Serving as a Pivot Table utility, Tad supports thorough data exploration and examination. Its internal operations are powered by DuckDb, enabling both swift and accurate data management. The application has been designed to fit seamlessly into the workflows of both data engineers and scientists. Recently, Tad has seen updates that include improvements to DuckDb 1.0, new features allowing users to export filtered tables in Parquet and CSV formats, enhancements for handling scientific notation, as well as minor bug fixes and upgrades for dependent packages. Moreover, users can conveniently find a packaged installer for Tad available on macOS (supporting both x86 and Apple Silicon), Linux, and Windows platforms, thereby increasing its accessibility to a broader audience. The array of features provided by Tad underscores its significance as a valuable asset for professionals engaged in data analysis, making it an essential tool in the field. As data continues to grow in complexity, applications like Tad will be pivotal in helping users navigate and interpret their datasets efficiently.

What is SolarWinds Kiwi Log Viewer?

Kiwi Log Viewer displays log files in a visually appealing table format and provides a range of search and filtering capabilities to improve user experience. It can manage files as large as 14TB, ensuring that you can access and search through all required logs without worrying about their size constraints. Moreover, it enables real-time monitoring of changes in specific log files, which facilitates staying informed on any updates. The software automatically highlights essential text and supports both sub-string matching and Perl-style regular expressions, catering to detailed search requirements. Users can customize highlighting rules to swiftly pinpoint the most significant messages within the logs, enhancing their ability to analyze data. In addition, tracking particular keywords, phrases, or patterns across log files is straightforward. Kiwi Log Viewer organizes text-based log entries in a well-structured tabular format, and it allows for the easy copying of selected rows in a tab-delimited format or direct selection and copying of any part of the row text. Its file tailing feature ensures that you can monitor chosen log files for updates, enabling you to see new data in real-time, which significantly enhances log management efficiency. Overall, Kiwi Log Viewer is designed to make navigating and managing log files as seamless and effective as possible.

Media

Media

Integrations Supported

Apache Parquet
Blueprint
DuckDB
Electron
Google Sheets
HTML
Microsoft Excel
Perl
React
SQLite

Integrations Supported

Apache Parquet
Blueprint
DuckDB
Electron
Google Sheets
HTML
Microsoft Excel
Perl
React
SQLite

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$111 one-time payment
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tad

Company Location

United States

Company Website

www.tadviewer.com

Company Facts

Organization Name

SolarWinds

Date Founded

1999

Company Location

United States

Company Website

www.solarwinds.com/kiwi-log-viewer

Categories and Features

Categories and Features

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