Amazon Web Services
84TriVista score
Amazon Q Business
An AI assistant that searches a company's own documents and apps to answer staff questions, now closed to new customers by AWS.
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Amazon Q Business vs Gemini for Google Workspace
Compare up to four tools by their main job, cost, setup requirements, and data security. Choose two to four tools below.
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Enterprise AI Assistants and Workspaces
Costs are planning estimates, not vendor quotes. See the assumptions below.
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Google
87TriVista score
Gemini for Google Workspace
An AI helper built into Gmail, Docs, Sheets, and Meet, now included in Google Workspace business plans rather than sold separately.
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Amazon Q Business84 TriVista score
Gemini for Google Workspace87 TriVista score
Category rank
#5
#3
Research confidence
Strong support
Strong support
Cost
Tool
Amazon Q Business84 TriVista score
Gemini for Google Workspace87 TriVista score
Plans and pricing
Q Business Pro / Enterprise Index. Public legacy mechanics; current new-customer purchase restricted
Workspace AI and Gemini Enterprise tiers. Packaging-dependent; planning allowance
First year
$46.3KBase estimateLow $29.2K · High $75K
$29KBase estimateLow $19.1K · High $45K
Per user or unit
$2.3KBase estimateLow $1.5K · High $3.7KPer enabled user plus one production index, first year
$1.5KBase estimateLow $956 · High $2.3KPer enabled user, first year
Three years
$92.1KBase estimateLow $60.5K · High $143.9K
$64.8KBase estimateLow $44K · High $97.6K
Cost assumptions
Planning quantity: 20. Unit definition: enabled user plus one production index. Pricing model: Per-user subscription plus index capacity and consumption. Confirm the vendor’s billing unit and current price or quote before budgeting.
Based on 20 enabled users. Pricing model: Workspace edition/add-on or Gemini Enterprise per-seat subscription. Confirm the vendor’s billing unit and current price or quote before budgeting.
Setup and security
Tool
Amazon Q Business84 TriVista score
Gemini for Google Workspace87 TriVista score
Setup requirements
AWS account, IAM/IAM Identity Center, index capacity, connectors, data permissions, region availability, KMS choices, and migration/transition plan.
Qualifying Google Workspace edition, admin controls, Drive sharing hygiene, DLP and Vault policies, access and data-region decisions, and user training.
Data and security
AWS documents shared responsibility, IAM, encryption at rest/in transit, KMS options, and permission-aware retrieval; validate service lifecycle and migration controls.
Google states Workspace data is not used to train models outside the domain without permission and that Gemini applies existing access, DLP, Vault, and data-governance controls; validate edition-specific availability.
Recommended next step
Stop until the product path, data boundaries, commercial terms, controls, and workflow fit are confirmed
Test one narrow workflow with approved data, access controls, quality checks, and a stop-or-expand decision
Before you choose
Test the shortlisted tools on the same task with the same success criteria. Confirm current pricing, data terms, and setup requirements, and resolve any research holds before approving a pilot. Scores rank tools within their own category, not across all tools.
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