Gemini in Looker vs Dynamics 365 Copilot

Detailed side-by-side comparison to help you choose the right tool

Gemini in Looker

Business Intelligence

Google's AI assistant integrated into Looker that helps users analyze data through natural language queries and generates insights from business intelligence dashboards.

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Starting Price

Custom

Dynamics 365 Copilot

Business Intelligence

Microsoft's integrated AI platform embedded across Dynamics 365 CRM and ERP, delivering role-based Copilot experiences and autonomous agents for sales, customer service, finance, supply chain, field service, and marketing, with 700+ prebuilt connectors and native Microsoft 365 integration.

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Starting Price

Custom

Feature Comparison

Scroll horizontally to compare details.

FeatureGemini in LookerDynamics 365 Copilot
CategoryBusiness IntelligenceBusiness Intelligence
Pricing Plans34 tiers10 tiers
Starting Price
Key Features
  • â€ĸ Conversational Analytics for natural language data queries
  • â€ĸ Visualization Assistant for AI-generated charts
  • â€ĸ Formula Assistant for table calculations
  • â€ĸ In-app Copilot across Sales, Customer Service, Field Service, Finance, SCM, Business Central, and Customer Insights
  • â€ĸ Copilot Studio low-code agent builder with 700+ connectors
  • â€ĸ Autonomous agents with triggers, actions, and Dataverse grounding

Gemini in Looker - Pros & Cons

Pros

  • ✓Grounded in Looker's governed semantic layer (LookML), which reduces hallucinations and respects existing access controls and metric definitions
  • ✓Six distinct AI assistants cover the full BI workflow from data exploration to slide generation, more comprehensive than most competing BI Copilots
  • ✓Tight integration with BigQuery and the broader Google Cloud data stack makes it a natural fit for existing GCP customers
  • ✓LookML Code Assistant accelerates developer productivity by generating semantic model code from natural language prompts
  • ✓Automatic Slide Generation directly exports dashboard content to Google Slides, useful for executive reporting workflows
  • ✓Available across multiple languages including English, Spanish, French, German, Japanese, Korean, and Portuguese for global teams

Cons

  • ✗Requires an existing Looker license plus a separate Gemini in Looker add-on, layering enterprise costs on top of Google Cloud spend
  • ✗Quality of AI responses depends heavily on the quality of LookML modeling — poorly modeled instances will produce poor results
  • ✗Locked to the Looker ecosystem, so teams using Tableau, Power BI, or other BI platforms cannot benefit
  • ✗Some features remain in preview or limited availability, with capabilities and regions rolling out gradually
  • ✗Public pricing is not transparently listed; customers must contact Google Cloud sales for licensing quotes

Dynamics 365 Copilot - Pros & Cons

Pros

  • ✓Deeply embedded in Dynamics 365 and Microsoft 365, reducing context switching for end users
  • ✓Core Copilot features included with qualifying Dynamics 365 licenses at no extra per-user cost
  • ✓Copilot Studio enables low-code custom autonomous agents grounded in Dataverse and external APIs
  • ✓Enterprise-grade governance via Microsoft Purview, Entra ID, and customer-managed keys
  • ✓Native grounding in CRM, ERP, and Microsoft Graph data without custom RAG plumbing

Cons

  • ✗Value proposition weakens significantly outside a Microsoft-first stack
  • ✗Agent quality is uneven across modules — Sales and Customer Service are more mature than Finance and SCM
  • ✗Copilot Studio consumption pricing can become expensive at scale if message volume is not modeled
  • ✗Full capabilities require Dataverse adoption and clean master data
  • ✗Feature availability and regional rollout lag behind US English for some languages and geographies

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