# Pricing transcribed from the provider's own page — see provenance. Numbers are quoted, not derived.
generated: '2026-10-07'
method: searched
source: https://aws.amazon.com/quick/quicksight/pricing/
sources:
- https://aws.amazon.com/quick/quicksight/pricing/
- https://aws.amazon.com/quicksight/pricing/
provenance:
  tool: all/0-working/economics/harvest_pricing.py
  run: 20261007T104522
  grounding: every price_text was found verbatim in the fetched page text
audience: business-product
pricing_basis: per-seat
delivery:
  delivery: managed
  method: page
  read: '2026-10-07'
  managed_tier: Reader $3 per user/month
published: true
note: 'AWS QuickSight BI pricing: per-user seats plus capacity/usage options (sessions, Q questions, reports,
  SPICE GB, alert metrics).'
plan_count: 24
currency: USD
plans:
- name: Author
  price_text: $24 per user/month
  price: 24
  currency: USD
  period: month
  unit: user
  included_quota: Authoring, dashboards, Q&A; 10 GB SPICE per provisioned Author
- name: Author Pro
  price_text: $40 per user/month
  price: 40
  currency: USD
  period: month
  unit: user
  included_quota: All Author capabilities plus generative AI capabilities; 10 GB SPICE credit
  overage: $250/month per account infrastructure fee applies if account has at least one Pro user, Q&A
    enabled via topics, or Dashboard Q&A enabled
- name: Reader
  price_text: $3 per user/month
  price: 3
  currency: USD
  period: month
  unit: user
  included_quota: Interactive dashboards, reports, alerts, Q&A
- name: Reader Pro
  price_text: $20 per user/month
  price: 20
  currency: USD
  period: month
  unit: user
  included_quota: All Reader capabilities plus AI enhancements
  overage: $250/month per account infrastructure fee
- name: Reader Capacity - Monthly
  price_text: $250 per month
  price: 250
  currency: USD
  period: month
  unit: sessions
  included_quota: 500 sessions per month
  overage: $0.50 per additional session
- name: Reader Capacity - Annual 50,000
  price_text: $20,000 per year
  price: 20000
  currency: USD
  period: year
  unit: sessions
  included_quota: 50,000 per year
  overage: $0.40
- name: Reader Capacity - Annual 200,000
  price_text: $57,600 per year
  price: 57600
  currency: USD
  period: year
  unit: sessions
  included_quota: 200,000 per year
  overage: $0.28
- name: Reader Capacity - Annual 400,000
  price_text: $96,000 per year
  price: 96000
  currency: USD
  period: year
  unit: sessions
  included_quota: 400,000 per year
  overage: $0.24
- name: Reader Capacity - Annual 800,000
  price_text: $162,000 per year
  price: 162000
  currency: USD
  period: year
  unit: sessions
  included_quota: 800,000 per year
  overage: $0.20
- name: Reader Capacity - Annual 1,600,000
  price_text: $258,000 per year
  price: 258000
  currency: USD
  period: year
  unit: sessions
  included_quota: 1,600,000 per year
  overage: $0.16
- name: Reader Capacity - Annual 3,000,000+
  price_text: Contact us
  period: year
  unit: sessions
  included_quota: 3,000,000+ per year
  overage: Contact us
- name: Amazon Q questions - Monthly
  price_text: $250/month
  price: 250
  currency: USD
  period: month
  unit: questions
  included_quota: 500/month
  overage: $0.50
- name: Amazon Q questions - Annual 60,000
  price_text: $18,000/year
  price: 18000
  currency: USD
  period: year
  unit: questions
  included_quota: 60,000/year
  overage: $0.30
- name: Amazon Q questions - Annual 600,000
  price_text: $120,000/year
  price: 120000
  currency: USD
  period: year
  unit: questions
  included_quota: 600,000/year
  overage: $0.20
- name: Amazon Q questions - Annual 1,000,000+
  price_text: Contact us
  period: year
  unit: questions
  included_quota: 1,000,000+/year
  overage: Contact us
- name: Pixel-perfect reports - Monthly plan
  price_text: $500
  price: 500
  currency: USD
  period: month
  unit: report units
  included_quota: 500 per month
  overage: $1.00 per additional report unit
- name: Pixel-perfect reports - Annual plan
  price_text: $24,000
  price: 24000
  currency: USD
  period: year
  unit: report units
  included_quota: 4,000 per month
  overage: $0.50
- name: SPICE
  price_text: $0.38
  price: 0.38
  currency: USD
  period: month
  unit: per GB/month
  included_quota: 10 GB included with every provisioned Author
- name: Alerts 1–1,000,000 metrics
  price_text: $0.50
  price: 0.5
  currency: USD
  period: per-use
  unit: per 1,000 metrics evaluated
- name: Alerts 1,000,001–10,000,000
  price_text: $0.25
  price: 0.25
  currency: USD
  period: per-use
  unit: per 1,000 metrics evaluated
- name: Alerts 10,000,001–100,000,000
  price_text: $0.10
  price: 0.1
  currency: USD
  period: per-use
  unit: per 1,000 metrics evaluated
- name: Alerts >100,000,000
  price_text: $0.05
  price: 0.05
  currency: USD
  period: per-use
  unit: per 1,000 metrics evaluated
- name: Standard Edition Annual plan
  price_text: $9 per user/month
  price: 9
  currency: USD
  period: month
  unit: user
  included_quota: 10 GB per user
  overage: 0.25 per GB for additional capacity
- name: Standard Edition Monthly plan
  price_text: $12 per user/month
  price: 12
  currency: USD
  period: month
  unit: user
  included_quota: 10 GB per user
  overage: 0.25 per GB for additional capacity
rate_limit_statements:
- A session is a 30-minute period.
- Each SPICE dataset in the Quick Sight Enterprise edition supports a maximum 1 billion rows per 1 TB
  size.
- A report unit is defined to be up to 100 pages long or 100 MB in size.
x-canonical:
  generated: '2026-10-08'
  vocabulary: all/0-working/economics/plans-canonical.yml
  models:
  - hybrid
  - metered
  - seat
  - subscription
  units:
  - object
  - seat
  plans:
  - name: Author
    access: other
    model: seat
    model_how: derived
    units:
    - seat
    periods:
    - month
  - name: Author Pro
    access: other
    model: seat
    model_how: derived
    units:
    - seat
    periods:
    - month
  - name: Reader
    access: other
    model: seat
    model_how: derived
    units:
    - seat
    periods:
    - month
  - name: Reader Pro
    access: other
    model: seat
    model_how: derived
    units:
    - seat
    periods:
    - month
  - name: Reader Capacity - Monthly
    access: other
    model: hybrid
    model_how: derived
    units:
    - object
    periods:
    - month
  - name: Reader Capacity - Annual 50,000
    access: other
    model: hybrid
    model_how: derived
    units:
    - object
    periods:
    - year
  - name: Reader Capacity - Annual 200,000
    access: other
    model: hybrid
    model_how: derived
    units:
    - object
    periods:
    - year
  - name: Reader Capacity - Annual 400,000
    access: other
    model: hybrid
    model_how: derived
    units:
    - object
    periods:
    - year
  - name: Reader Capacity - Annual 800,000
    access: other
    model: hybrid
    model_how: derived
    units:
    - object
    periods:
    - year
  - name: Reader Capacity - Annual 1,600,000
    access: other
    model: hybrid
    model_how: derived
    units:
    - object
    periods:
    - year
  - name: Reader Capacity - Annual 3,000,000+
    access: other
    model: metered
    model_how: derived
    units:
    - object
    periods:
    - year
  - name: Amazon Q questions - Monthly
    access: other
    model: hybrid
    model_how: derived
    units:
    - other
    periods:
    - month
  - name: Amazon Q questions - Annual 60,000
    access: other
    model: hybrid
    model_how: derived
    units:
    - other
    periods:
    - year
  - name: Amazon Q questions - Annual 600,000
    access: other
    model: hybrid
    model_how: derived
    units:
    - other
    periods:
    - year
  - name: Amazon Q questions - Annual 1,000,000+
    access: other
    model: metered
    model_how: derived
    units:
    - other
    periods:
    - year
  - name: Pixel-perfect reports - Monthly plan
    access: other
    model: hybrid
    model_how: derived
    units:
    - other
    periods:
    - month
  - name: Pixel-perfect reports - Annual plan
    access: other
    model: hybrid
    model_how: derived
    units:
    - other
    periods:
    - year
  - name: SPICE
    access: other
    model: subscription
    model_how: derived
    units:
    - other
    periods:
    - month
  - name: Alerts 1–1,000,000 metrics
    access: other
    model: subscription
    model_how: derived
    units:
    - other
    periods:
    - other
  - name: Alerts 1,000,001–10,000,000
    access: other
    model: subscription
    model_how: derived
    units:
    - other
    periods:
    - other
  - name: Alerts 10,000,001–100,000,000
    access: other
    model: subscription
    model_how: derived
    units:
    - other
    periods:
    - other
  - name: Alerts >100,000,000
    access: other
    model: subscription
    model_how: derived
    units:
    - other
    periods:
    - other
  - name: Standard Edition Annual plan
    access: other
    model: seat
    model_how: derived
    units:
    - seat
    periods:
    - month
  - name: Standard Edition Monthly plan
    access: other
    model: seat
    model_how: derived
    units:
    - seat
    periods:
    - month