Tabular Editor
Tabular Editor provides a specialized development environment for building and maintaining tabular data models in Microsoft Power BI, Analysis Services, and Fabric. The platform includes the world's only DAX debugger, an AI Assistant with user-controlled permissions, and automation capabilities through a cross-platform command-line interface for CI/CD pipelines.
- Data & Analytics
- Developer Tools
- Enterprise Software
- Software Only
- Artificial Intelligence
Funding
Founders
Founder details are not available yet.
Product
Problem
Data professionals working with Microsoft's tabular modeling platforms often struggle with slow, inefficient development workflows when using native tools. Building and maintaining complex data models in Power BI and Analysis Services can be time-consuming, error-prone, and lacks the advanced automation and debugging capabilities needed for enterprise-scale projects.
Solution
Tabular Editor delivers a specialized development environment for tabular data modeling that significantly accelerates model creation and maintenance. The tool provides a comprehensive suite of features including a best-in-class DAX editor, performance optimization analyzers, and automation capabilities through a cross-platform command-line interface. Tabular Editor 3 includes an AI Assistant and MCP Server that connects AI agents directly to the model with user-controlled permissions, visible changes, and one-step undo. The platform also features the world's only DAX debugger, enabling step-by-step execution and variable inspection for troubleshooting complex measures. The commercial Tabular Editor 3 builds on the open-source foundation with a modern, customizable UI, advanced debugging tools, and enterprise-grade support.
Target Audience
Primary users are Power BI developers, business intelligence professionals, and data modelers working with Microsoft's tabular platforms including Analysis Services, Power BI Premium, and Fabric. The tool also serves enterprise IT teams and BI consultants who need advanced modeling capabilities and automation for large-scale deployments.
Features
- AI Assistant and MCP Server that lets users connect their own AI agent or built-in assistant with permissions they control, visible changes, and the ability to review and undo modifications
- Advanced DAX editor with real-time validation, autocomplete, IntelliSense, and syntax highlighting for faster formula authoring
- DAX debugger for step-by-step execution and variable inspection to resolve complex calculation issues
- Best Practice Analyzer that automatically identifies optimization opportunities and provides actionable recommendations
- VertiPaq Analyzer for deep-diving into column and table storage metrics to optimize memory usage and query performance
- Cross-platform command-line interface (CLI) enabling automation of tabular modeling workflows in CI/CD pipelines, including model validation and deployment checks
- Semantic Bridge feature that connects Databricks and Power BI seamlessly for data integration
- Batch model updates and advanced C# scripting for task automation, plus folder-based file format support for version control integration