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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 SSAS?

When implemented as an on-premises server, SQL Server Analysis Services offers extensive support for multiple model types, such as tabular models at different compatibility levels depending on the version, multidimensional models, data mining features, and Power Pivot functionalities for SharePoint. The typical implementation process consists of establishing a SQL Server Analysis Services instance, creating either a tabular or multidimensional data model, deploying this model as a database to the server instance, processing it to fill it with data, and setting up user permissions to enable data access. After this setup is finalized, client applications compatible with Analysis Services can readily access the data model as a source. These data models often aggregate information from external systems, primarily retrieving data from data warehouses that utilize SQL Server or Oracle relational database engines; however, tabular models are also capable of connecting to various other data sources. This flexibility and range of capabilities underscore the strength of SQL Server Analysis Services as a formidable resource for analytics and business intelligence, allowing organizations to derive meaningful insights from their data. Ultimately, such robust functionality positions SQL Server Analysis Services as an essential component for enterprises aiming to enhance their analytical capabilities.

Media

Media

Integrations Supported

Microsoft Excel
AnalyticsCreator
Apache Parquet
Blueprint
DuckDB
Electron
Google Sheets
HTML
Microsoft Power BI
Nucleon Database Master
React
SQL Server
SQLite

Integrations Supported

Microsoft Excel
AnalyticsCreator
Apache Parquet
Blueprint
DuckDB
Electron
Google Sheets
HTML
Microsoft Power BI
Nucleon Database Master
React
SQL Server
SQLite

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

docs.microsoft.com/en-us/analysis-services/ssas-overview

Categories and Features

Categories and Features

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

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