Data & BI Copilots Compared: Cortex Analyst vs. Databricks Genie vs. Fabric Copilot
Every major data platform shipped some version of the same idea this year: a plain-language layer on top of your warehouse or lakehouse that lets someone who doesn't write SQL ask a real question and get a real answer. Snowflake has Cortex Analyst, Databricks has Genie (now "Genie One"), and Microsoft has Copilot built into Fabric and Power BI. They're solving the same underlying problem, but the bets they've placed on how are different enough that "which one is best" is the wrong question. The better one is which bet matches how your organization actually works.
Snowflake Cortex Analyst: the governance bet
Cortex Analyst forces every natural-language question through a predefined semantic layer (Semantic Views) rather than letting an LLM guess at joins across raw tables, and it inherits Snowflake's row-level security automatically, so a question can't leak data a person isn't permitted to see. It's the pick for organizations where "the AI was probably right" isn't good enough and the data lives mostly in Snowflake already.
Databricks Genie One: the business-analyst bet
Genie reached general availability this year and rebranded to Genie One on June 16, 2026, with over 4,000 organizations having used it during preview. Its distinguishing idea is a "knowledge store" — a semantic model that blends the actual data assets with context curated by expert analysts, so Genie understands what a metric means inside your business, not just what a column is called. It mines patterns from query history and data lineage automatically, supports uploading a spreadsheet to blend with governed data, and ships with a "Genie Benchmarks" system for measuring its own accuracy plus an "ask for review" button so a human can flag a wrong answer. It's free to existing Databricks SQL customers, and a "Genie Deep Research" mode for multi-step analysis is on the way. The bet here is squarely on business analysts asking increasingly sophisticated questions without needing an engineer in the loop — and on being honest, in-product, about when it might be wrong.
Microsoft Fabric Copilot: the embedded bet — and the most turbulent one
Fabric Copilot's advantage has always been distribution: it lives inside Power BI, Excel and Teams, tools most business users already have open. 2026 added real substance to that — a "Fabric IQ Skill" for natural-language queries against reports and semantic models, a "Copilot in Web Modeling" preview that lets analysts describe changes to a semantic model in plain language instead of manually editing relationships, and agent skills that can design, build and publish a full Power BI report from a description or even a screenshot.
The more interesting story is what's not staying put. Microsoft retired the integration between Copilot in Power BI and Fabric data agents on August 26, 2026 (confirmed: this is no longer listed among Copilot in Power BI's capabilities in Microsoft's current documentation) — it was built on the OpenAI Assistants API, which OpenAI was itself shutting down on that same date, and rather than rebuild that specific plumbing, Microsoft pointed everyone toward more durable paths instead: Microsoft Foundry, Copilot Studio, Microsoft 365 Copilot, or a Model Context Protocol (MCP) server endpoint for custom integrations. And in a move that says a lot about where this is heading, Microsoft also released an open-source "Fabric Skills Toolkit" that lets other AI agents — Claude and GitHub Copilot among them — query Power BI semantic models and Fabric data assets directly, without a human opening the Fabric interface at all. Microsoft's own Copilot brand is no longer the only way into Fabric's data.
Which one for which team
If your data mostly already lives in Snowflake and the cost of a confidently wrong answer is high — finance, compliance, anything regulator-facing — Cortex Analyst's governance-first design is built for exactly that. If your organization runs on Databricks and wants business users asking increasingly complex questions with a visible accuracy/review loop built in, Genie One is the more analyst-centric bet, and it's free if you're already paying for Databricks SQL. If your team lives in Power BI and Excel already, Fabric Copilot still meets people where they are — the core experience described above (Fabric IQ Skill, Copilot in Web Modeling, agent-built reports) is current and actively expanding.
What's really worth remembering past the specific product names: the direction of travel in 2026 isn't three walled gardens competing for your only chat window, it's a slow convergence on shared protocols (MCP chief among them) that let you mix and match which AI actually does the asking. Pick the platform that fits your governance and team shape today, but don't assume the integration you build on top of it is permanent — none of the three have proven that yet, and Microsoft's own retirement notice is proof it can go the other way.