Tabular

Tabular

Tabular is an open-source data modeling and analytics tool for data preparation and analysis. It allows users to easily connect to data sources, clean and transform data, create data models, analyze data, and generate insights through visualizations.
data-modeling analytics data-preparation data-transformation visualization

Tabular: Open-Source Data Modeling and Analytics Tool

Tabular allows users to easily connect to data sources, clean and transform data, create data models, analyze data, and generate insights through visualizations.

What is Tabular?

Tabular is an open-source data preparation, modeling, and analytics tool for working with data. It provides a user-friendly graphical interface that allows users to easily:

  • Connect to various data sources like databases, data warehouses, spreadsheets, etc.
  • Import, clean, transform, and prepare data for analysis
  • Visually build data models by joining data from multiple sources
  • Create calculations, metrics, and columns in the data model
  • Analyze and explore data through aggregations, filtering, and pivoting
  • Visualize data through charts, graphs, and dashboards
  • Share insights and analytics through interactive reports

Some key capabilities and benefits of Tabular include: collaborative data preparation so teams can work together, integrated governance for managing data access and permissions, built-in protection for sensitive data, and flexibility to connect nearly any data source. It can handle large and complex data while providing high performance and scalability.

Overall, Tabular makes working with data easy and intuitive through its visual interface. It empowers users of all technical skill levels to work with data, build analytics, and make data-driven decisions.

Tabular Features

Features

  1. Connect to various data sources like databases, files, etc.
  2. Clean, transform and prepare data for analysis
  3. Create data models using drag-and-drop interface
  4. Perform data analysis and generate insights
  5. Create interactive visualizations and dashboards

Pricing

  • Open Source

Pros

Open source and free to use

Intuitive drag-and-drop interface

Support for connecting to many data sources

Powerful data transformation capabilities

Can handle large datasets

Great for self-service data preparation

Cons

Limited built-in statistical analysis functions

Not ideal for complex data modeling

Steep learning curve for some advanced features

Lacks governance and collaboration features


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