Amazon QuickSight Pricing 2026: Reader & Embedded Costs

Amazon QuickSight pricing is unusual because the same product can be cheap for a small internal team and expensive for a high-volume embedded app. In 2026, buyers can pay per user or buy Reader sessions in bulk. The right option depends less on registered users than on how often people actually open analytics.

Quick answer: how much does Amazon QuickSight cost?

Amazon QuickSight's BI-only pricing starts at $3 per Reader per month and $24 per Author per month. AI-enhanced Pro users cost more. For embedded analytics or large audiences, AWS also sells Reader session capacity starting at $250 per month for 500 sessions.

That gives QuickSight two main pricing models:

per-user pricing for known users with regular analytics usage, and capacity pricing for large or unpredictable audiences.

Amazon QuickSight pricing at a glance

QuickSight item	Current published price
Reader	$3/user/month
Reader Pro	$20/user/month
Author	$24/user/month
Author Pro	$40/user/month
Reader capacity	$250/month for 500 sessions
50,000 annual sessions	$20,000/year
200,000 annual sessions	$57,600/year
400,000 annual sessions	$96,000/year
800,000 annual sessions	$162,000/year
1.6 million annual sessions	$258,000/year
SPICE	$0.38/GB/month
Pixel-perfect reports	Usage/add-on pricing

AWS pricing varies by region and can change, so use the current AWS pricing page for a production quote.

QuickSight or Quick Sight? A 2026 naming note

AWS now positions Quick Sight as the business intelligence capability inside the broader Amazon Quick experience.

You will still see "QuickSight" used widely in product documentation, search queries and older implementations. That is why people searching for quicksight pricing and amazon quicksight pricing are generally looking for the same BI product economics.

For SEO and clarity, we use the familiar Amazon QuickSight name in this guide while noting the newer Quick Sight branding where it affects pricing.

QuickSight Reader pricing: $3 per month

A standard Reader costs $3 per user per month.

Readers can consume interactive dashboards, drill into data, use filters and receive reports.

For a small internal audience, this is easy to model.

Readers	Monthly Reader cost
10	$30
100	$300
500	$1,500
1,000	$3,000

At first glance, this makes QuickSight one of the cheaper mainstream BI tools for read-heavy internal use.

But that is not always the right calculation for embedded analytics. A SaaS company may have 10,000 registered users who only open a dashboard once a month. Buying named Reader access for all of them can be less efficient than session capacity.

QuickSight Author pricing: $24 per month

Authors cost $24 per user per month.

Authors create data visualizations, build dashboards and publish analytics for other users.

For most embedded products, the number of Authors is relatively small. The bigger cost question is how end users consume the published analytics.

A team with five Authors pays:

5 × $24 = $120/month

before Reader, capacity, SPICE, AI or other usage costs.

What are Reader Pro and Author Pro?

QuickSight Pro roles add AI capabilities.

Reader Pro is $20 per user per month and Author Pro is $40 per user per month in supported regions.

AWS also applies a $250/month per account infrastructure fee when certain Pro or Q&A capabilities are active.

That fee can be insignificant in a large deployment but material in a small one. A five-user experiment can look very different once the account-level AI infrastructure fee is included.

If you are evaluating Amazon Q or AI-assisted analytics, model the user price and the account-level infrastructure charge together.

QuickSight capacity pricing explained

Reader capacity lets you buy sessions instead of provisioning one paid Reader for each person.

AWS explicitly positions this model for:

• embedded applications
• large BI deployments
• audiences with unpredictable usage
• situations where user counts grow faster than analytics consumption

The entry option is:

500 sessions/month for $250, with additional sessions at $0.50 each.

Annual commitments reduce the per-session cost.

Annual sessions	Annual price	Approx. cost/session
50,000	$20,000	$0.40
200,000	$57,600	$0.288
400,000	$96,000	$0.24
800,000	$162,000	$0.203
1,600,000	$258,000	$0.161

At 3 million or more annual sessions, AWS moves to custom pricing.

This is the table an embedded analytics buyer should focus on.

What counts as a QuickSight Reader session?

A Reader session is a block of analytics activity, rather than a permanently licensed user.

That is why capacity pricing can work well when many people log in infrequently.

Imagine a B2B SaaS product with 5,000 customer users. If only 800 of them open analytics in a typical month, and each generates one or two sessions, the cost profile can look very different from paying for 5,000 named Readers.

The reverse is also true. If a smaller group uses dashboards constantly throughout the workday, per-user Reader pricing may be simpler and cheaper.

The relevant metric is analytics engagement, not just account count.

QuickSight embedded pricing

QuickSight supports embedded dashboards and analytics inside applications.

For a customer-facing use case, AWS says capacity pricing is ideal because you do not have to provision a standard Reader account for every member of a large audience.

That gives product teams a useful pay-for-consumption model.

It also introduces forecasting work.

You need a view of:

expected monthly active analytics users sessions per active user seasonal peaks dashboard refresh behavior AI usage SPICE storage

A product with steady usage is easier to budget than one where thousands of customers may open the same dashboard after a monthly report lands.

For a broader product comparison, see Luzmo vs QuickSight.

Example 1: small internal QuickSight team

Assume:

5 Authors 50 Readers

Author cost:

5 × $24 = $120/month

Reader cost:

50 × $3 = $150/month

Total base user cost: $270/month

before SPICE, Pro features or other add-ons.

For a lightweight internal AWS-native deployment, that is an attractive price.

Example 2: 500 internal Readers

5 Authors = $120/month 500 Readers = $1,500/month

Total: $1,620/month

At this point, a company should still compare named-reader economics with expected usage. If most Readers use analytics regularly, per-user pricing remains easy to manage.

Example 3: 2,000 embedded sessions per month

The monthly capacity package includes 500 sessions for $250.

If additional sessions are charged at $0.50:

1,500 additional sessions × $0.50 = $750

Estimated session cost:

$1,000/month

This simplified scenario excludes Authors, SPICE, AI features and any other charges. It shows why QuickSight pricing should be modeled around actual usage.

If the deployment consistently generates tens of thousands of sessions, annual capacity becomes more relevant.

When annual capacity starts to matter

The first annual tier gives 50,000 sessions for $20,000/year.

That works out to an average of about 4,167 included sessions per month.

A monthly package handling the same volume entirely through the $250 + overage structure would need careful comparison. More importantly, larger annual commitments reduce the unit cost further.

Annual capacity can also provide commercial benefits beyond pure session price, including branding options.

This is one reason procurement should not assume the monthly 500-session package is the final production model.

Can you remove "Powered by QuickSight" branding?

Yes, in some commercial configurations.

AWS states that annual commitments to capacity pricing can provide an option to remove the "Powered by QuickSight" branding.

That nuance matters. Older comparisons often describe AWS branding as unavoidable, which is too absolute.

Brand control still needs to be evaluated beyond one badge. Product teams should test the entire embedded experience, styling range, domain behavior and interaction model.

SPICE pricing

SPICE is QuickSight's in-memory data store.

AWS currently prices additional SPICE capacity at $0.38 per GB per month.

The raw storage price can look minor compared with user or session spend, but large datasets add another variable to the bill.

It also means two organizations with the same number of Readers can pay different totals because their data architecture and caching requirements differ.

Amazon Q and AI costs

QuickSight's AI story is now tied more closely to Amazon Quick.

Depending on region and configuration, Pro users get generative analytics capabilities such as AI summaries, natural-language analysis and scenario exploration.

When Q&A or Pro infrastructure is enabled, include the account-level infrastructure charge and any consumption pricing that applies.

Do not treat AI as a free checkbox in a comparison table without checking the exact commercial configuration.

Pixel-perfect reports, alerts and other costs

QuickSight also has charges around optional capabilities including pixel-perfect reporting, alerts and anomaly detection.

These are rarely the headline in a pricing comparison, but they matter to organizations replacing a reporting stack rather than simply embedding dashboards.

A good budget should separate:

base users Reader sessions storage AI/Q&A scheduled/pixel-perfect reporting alerts and anomaly monitoring

That gives finance a much more realistic picture than one Reader price.

QuickSight vs Tableau pricing

QuickSight tends to start lower for basic read-heavy BI, especially for teams already operating in AWS.

Tableau has a different strength profile: deeper visual exploration, a mature analyst ecosystem and multiple Cloud/Server options.

For embedded products, both now require a more nuanced comparison than "Reader costs $3 vs Viewer costs $15." Capacity, usage and implementation all matter.

See our full QuickSight vs Tableau comparison.

QuickSight pricing compared with Luzmo

QuickSight is an AWS-native BI platform that supports embedding. Luzmo is an embedded analytics platform designed around customer-facing product experiences.

Luzmo's Embedded Everywhere plan starts at €1,995 per month billed annually, with a platform fee and adoption-based usage.

The better economic model depends on the use case.

QuickSight can be highly cost-effective for an AWS-native internal BI environment or a carefully forecast embedded workload. Luzmo is easier to compare when a product team wants customer-facing analytics without managing session capacity as the core pricing unit.

Use the embedded analytics pricing comparison to see how the models differ across vendors.

Who should choose QuickSight?

QuickSight is strongest when you already use AWS, your data stack fits naturally into that ecosystem and you are comfortable managing user or session-based economics.

It is also worth evaluating for high-scale embedded analytics because capacity pricing avoids provisioning every viewer individually.

A different platform may be easier to manage when white-label product UX, non-AWS infrastructure or predictable product-level economics matter more than AWS integration.

The key is to model your expected usage before committing.

QuickSight is worth weighing against the wider field: our roundup of the best embedded business intelligence software and the broader list of embedded analytics tools both cover where a session-based model fits. Luzmo publishes its own pricing for comparison.

Conclusion

Amazon QuickSight pricing is flexible, but flexibility creates more than one billable unit.

Small teams can use $3 Readers and $24 Authors. Embedded products can buy sessions through capacity plans. AI, SPICE and reporting features add their own costs.

The best estimate starts with one question:

How many analytics sessions will your users actually generate?

For customer-facing deployments, that number can be more useful than total registered users.