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Average Ratings 0 Ratings

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ease
features
design
support

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Description

CSViewer is a quick and free desktop application for Windows that allows users to view and analyze extensive delimited text and binary files, including formats like CSV, TSV, Parquet, and QVD. The application can effortlessly load millions of rows in just a few seconds and provides sophisticated filtering options alongside immediate profiling features, including aggregate functions, null counts, and outlier identification. Users can easily export their filtered datasets, save their analysis configurations, and create visualizations through charts and cross-tabulations. With a focus on facilitating exploratory data analysis without relying on cloud services, CSViewer ensures that all aggregates and visual elements refresh instantaneously whenever a filter is applied or modified. Each column's statistics, including null counts, unique values, and minimum or maximum values, are readily available for review. Additionally, users have the option to export their selected rows into a new file for sharing purposes or further analysis in other applications. The software also supports converting files between different formats, such as transforming CSV files into QVD format. When users choose to export to the native .dset format, their data is preserved alongside any applied filters and visualizations, ensuring that their work can be conveniently revisited later. This comprehensive approach streamlines data handling and enhances the user experience.

Description

QueryTree simplifies the process of creating and distributing reports based on your software's databases. This open-source tool serves as an ad hoc reporting and visualization platform for applications. You can easily download it from GitHub, run it via Source or Binaries, or utilize Docker to connect it to any Microsoft SQL Server, MySQL, or PostgreSQL database, making setup a breeze. Acting as the crucial report screen missing from your app, QueryTree allows both technical and non-technical users to select, filter, group, aggregate, and visualize data from any database table effortlessly. Users can not only export their findings and share reports with colleagues but also schedule emails to ensure everyone stays informed. Provide your users with an intuitive and user-friendly report builder that empowers them to explore, select, and summarize their data. With QueryTree, you can create engaging interactive charts that provide visual insights without needing to write any code. Additionally, you can securely connect to your MySQL, PostgreSQL, or Microsoft SQL Server database within mere minutes, enhancing your application's reporting capabilities even further. This tool is designed to make data reporting accessible to everyone, regardless of their technical background.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Parquet
EasyMorph
Google Sheets
Microsoft Excel

Integrations

Apache Parquet
EasyMorph
Google Sheets
Microsoft Excel

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$29 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

EasyMorph

Founded

2014

Country

Canada

Website

csviewer.com

Vendor Details

Company Name

D4 Software

Country

United Kingdom

Website

querytreeapp.com/

Product Features

Product Features

Reporting

Customizable Dashboard
Data Source Connectors
Drag & Drop
Drill Down
Email Reports
Financial Reports
Forecasting
Marketing Reports
OLAP
Report Export
Sales Reports
Scheduled / Automated Reports

Alternatives

Alternatives

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