Create unlimited data workspaces that mirror team boundaries and access policies.
M
Fabric + Power BI Copilot
Traditional BI Governance
Inherits standard Power BI security (RLS, OLS).
Provides lineage/impact analysis tools outside of the Copilot interface.
Lacks AI-driven features for drift detection or metric stewardship.
👥 Business User Enablement
C
Connecty AI
Governed Self-Service with Expert in the Loop
Provides answers with clear explanations, highlighting assumptions.
Features "expert in the loop" verification flows with AI-powered dependency detection.
Builds trust by allowing any user to drill down into the "why" behind an answer.
M
Fabric + Power BI Copilot
Self-Service with Opaque Reasoning
Generates charts from natural language, lowering the technical bar.
Does not explicitly state assumptions, requiring users to blindly trust the output.
The "how" behind the answer remains hidden from the user.
🔍 Explainability Audit Layer
C
Connecty AI
Complete Audit & Control
Provides a full, auditable trail from intent to final SQL.
Allows no-code review and adjustment of each logic step.
Maintains a version history of all analysis and metric definitions.
M
Fabric + Power BI Copilot
No Audit Trail
The process from question to query to result is completely hidden.
Users cannot review or adjust the AI's intermediate logic.
Lacks a version history of the analytical reasoning process.
🤝 Collaborative Workflows
C
Connecty AI
Real-Time Co-Analysis
Allows multiple users to join a live analytical chat thread.
Supports branching workflows, similar to Google Docs for analytics.
All edits and contributions are tracked with user attribution.
M
Fabric + Power BI Copilot
Asynchronous Sharing
Collaboration occurs by sharing the final report or dashboard.
The Copilot interface itself is single-user only.
No real-time co-analysis or shared Q&A threads are available.
🎯 Target Persona Alignment
C
Connecty AI
Unified Platform for All Roles
A single, cohesive interface serves business users, analysts, and engineers.
AI agents assist with tasks from simple Q&A to complex data preparation.
Empowers technical users to govern an AI that all personas can use effectively.
M
Fabric + Power BI Copilot
Segmented for Different Roles
Copilot serves analysts/business users for report generation.
Technical users (engineers) must use separate tools within Fabric.
A clear divide exists between model builders and consumers.
Summary & Final Verdict
What is Microsoft Fabric + Power BI + Copilot?
The Microsoft analytics offering is structured around three main components: Microsoft Fabric, Power BI, and Copilot.
Microsoft Fabric is the comprehensive analytics platform, unifying services like data engineering and data science around a central data lake, OneLake.
Power BI, the business intelligence and visualization tool, operates both as a core experience within Fabric and as a licensable standalone product.
Copilot is the AI assistant that functions as a feature layer across this ecosystem. It is integrated into Fabric and is also available within the Power BI experience.
The activation model for Copilot is based on enterprise-level capacity, not individual user licenses. To enable Copilot, an organization must have a Microsoft Fabric or Power BI Premium capacity subscription. This results in a two-part cost model: a recurring subscription for the underlying capacity and variable costs based on Copilot's consumption of that capacity's resources. Functionally, Copilot operates on data models that are prepared manually, and its use is governed by this multi-component product and licensing framework.
What is Connecty AI?
Connecty AI is a plug-and-play agentic analytics platform powered by an autonomous semantic graph that understands the business logic across your entire dataset from day one. Instead of relying on manually defined models, Connecty continuously learns from query patterns and data relationships to build a reusable, explainable layer of metrics and dimensions. It enables users—especially data analysts and business teams—to ask complex questions in natural language and get deeply validated, explainable results. With built-in reasoning, version control, and collaborative analysis, Connecty acts as both a semantic layer and an AI-powered analyst.
A Note on This Comparison
Comparing two rapidly evolving platforms is inherently challenging. Our clients frequently ask for a clear, transparent comparison to inform their decisions. We’ve put this together based on publicly available information and our best understanding of each product's current capabilities. We welcome corrections! If you believe any detail here is inaccurate, please reach out to our support team.
Final Verdict: Power BI Copilot (Microsoft Fabric) vs. Connecty AI
Comparing Fabric Power BI Copilot and Connecty AI illustrates a fundamental difference in architecture and philosophy:
Fabric + Power BI Copilot is model-centric and manual: semantics and metrics must be pre-built by a developer in a specific dataset. It is ideal for accelerating report creation within a well-defined, pre-structured Microsoft ecosystem.
Connecty AI is semantic-first and agentic: it builds its own understanding of your data and uses that knowledge to drive analysis, documentation, and reasoning. It is ideal for teams that need to explore, collaborate, and govern insights at scale without a heavy manual setup.
Bottom line: Use Fabric + Copilot when your goal is to manage end to end pipeline for a very large organization from raw data to the dashboards from existing, manually curated Power BI models. Use Connecty AI when you want a semantic-aware, AI-powered platform that can reason over your data, explain metrics, and enable teams to self-serve with trust and transparency.
