Buying snapshot
Scroll sideways to see all columns. With a keyboard, focus this table and use the arrow keys.
| Decision point | What AWS states |
|---|---|
Editions | Enterprise edition, or Standard edition through the CreateAccountSubscription API for individuals and small groups that do not need the broad sharing, distribution and AI capabilities of Enterprise Edition. |
Data engine | Datasets use SPICE, an in-memory engine, or direct queries. In Enterprise edition, data stored in SPICE is encrypted at rest. |
Embedding | Interactive analytics can be embedded in your applications and business workflows. |
Security and compliance | Role-based access controls, single sign-on and auditing. AWS says Quick Sight can support FedRAMP, HIPAA, PCI DSS, ISO and SOC compliance. |
Multi-account billing | Author Pro and Reader Pro users provisioned in AWS IAM Identity Center get consolidated billing across AWS accounts under the same payer account. |
Our take
Choose Quick Sight when a few authors build dashboards and reports for many readers, inside your organization or in an application you embed it in. Before you commit, model both per-user and session-capacity pricing against how many readers you expect and how often they will visit.
Evaluate Amazon QuickSight
Popular comparisons
See all 8 Amazon QuickSight comparisons
Where it stands out
Two ways to pay for readers. Readers can be bought per user for predictable organizational BI, or as session capacity for embedded applications or use that is hard to predict. Annual capacity commitments also let you remove the "Powered by Quick" branding.
SPICE limits repeat query costs. Data stored in SPICE can be reused without additional costs; with a source that charges per query, you are charged for querying the data when you first create the dataset and when you refresh it.
More than structured data. Quick Sight can combine metrics from databases and warehouses with documents, emails and knowledge bases. With Quick's built-in agents, users can explore data conversationally, act from dashboards and use 40+ application integrations.
Product screenshot
Trade-offs to weigh
Near real-time refresh needs capacity pricing. Programmatic refresh of dashboards for near real-time data rendering requires capacity pricing, so per-user Reader pricing alone does not cover that use.
The Author promotion has an end date. In regions where new Quick capabilities are available, Authors get promotional access to all Quick Enterprise capabilities till December 31, 2026. Budget now for the users who will still need those capabilities after that date.
SPICE is sized per Region and by logical size. Capacity is allocated per AWS Region and shared by everyone using the account there; other Regions have none unless you buy it. A dataset's SPICE size is computed after type changes and calculated fields, so it differs from the source size.
Pricing and plan conditions
Quick Sight has two pricing models: per-user pricing, and capacity pricing that buys Reader sessions or Amazon Q questions in bulk without provisioning individual users. A session is a 30-minute period. A $250/month per-account infrastructure fee applies if the account has at least one Pro user, Q&A enabled via topics, or Dashboard Q&A enabled; one capacity-pricing footnote words it as a Pro user plus Q&A, so confirm which applies. Admin and Admin Pro users cost the same as Author and Author Pro. SPICE storage, alerts, pixel-perfect reports and question capacity are priced separately, and AWS offers custom pricing for larger use cases.
Scroll sideways to see all columns. With a keyboard, focus this table and use the arrow keys.
| User type | Published price | What it includes |
|---|---|---|
Reader | $3 per user/month | In Quick regions, all capabilities of Quick Essentials. Elsewhere, interactive dashboards with drill-down and filtering, pixel-perfect reports by email, data downloads, personal data alerts, natural-language Q&A and shared data stories. |
Reader Pro | $20 per user/month | In Quick regions, all capabilities of Quick Professional. Elsewhere, Reader plus AI-generated executive summaries, generative data stories and scenario analysis. |
Author | $24 per user/month | Connect to supported data sources, create and share dashboards and reports, and ask natural-language questions of structured data. Includes a 10 GB SPICE allocation. |
Author Pro | $40 per user/month | In Quick regions, all capabilities of Quick Enterprise. Elsewhere, Author plus building dashboards in natural language, Amazon Q Topics, executive summaries, data stories and scenarios. Includes a 10 GB SPICE credit. |
Standard edition user | $9 per user/month (annual plan); $12 per user/month (monthly plan) | 10 GB of SPICE per user; additional capacity at 0.25 per GB. |
Scroll sideways to see all columns. With a keyboard, focus this table and use the arrow keys.
| Plan type | Sessions | Price | Each additional session |
|---|---|---|---|
Monthly | 500 per month | $250 per month | $0.50 |
Annual | 50,000 per year | $20,000 per year | $0.40 |
Annual | 200,000 per year | $57,600 per year | $0.28 |
Annual | 400,000 per year | $96,000 per year | $0.24 |
Annual | 800,000 per year | $162,000 per year | $0.20 |
Annual | 1,600,000 per year | $258,000 per year | $0.16 |
Annual | 3,000,000+ per year | Contact us | Contact us |
Scroll sideways to see all columns. With a keyboard, focus this table and use the arrow keys.
| Item | Published price and conditions |
|---|---|
Amazon Q questions capacity | Monthly: 500 questions per month for $250 per month, then $0.50 per additional question. Annual: 60,000 per year for $18,000 per year ($0.30 per additional question) or 600,000 per year for $120,000 per year ($0.20). 1,000,000+ per year: contact us. |
Pixel-perfect reports | Monthly plan: 500 report units per month for $500, then $1.00 per additional unit. Annual plan: 4,000 report units per month for $24,000, the price for the year billed monthly, then $0.50 per additional unit. A report unit is up to 100 pages long or 100 MB in size. |
SPICE | $0.38 per GB/month; capacity can be added or removed at any time of the month. |
Alerts and anomaly detection | Price per 1,000 metrics evaluated: $0.50 for 1–1,000,000 metrics; $0.25 for 1,000,001–10,000,000; $0.10 for 10,000,001–100,000,000; $0.05 above 100,000,000. |
Public signals
About these signals
Verified factual signals from public sources. They indicate observable activity or interest, not total adoption, product quality, or cost.
224.7k npm weekly downloadsTop 84% Google Trends search interest0 vulnerabilities across 1 package
See all signals from 5 sources
npm · amazon-quicksight-embedding-sdk@2.12.1
Alternatives to Amazon QuickSight
The reviewed substitutes for Amazon QuickSight among the BI platforms, and what would make each one the better answer.
Direct alternatives
Reviewed substitutes: products bought for the same job, where a team picks one.
- Looker
- A company that wants dashboards and self-service exploration over its warehouse can license Looker or Amazon QuickSight. Looker centres everything on a LookML semantic model that a data team governs, and Google Cloud sells it. QuickSight is the serverless BI service from AWS, with its own in-memory engine, and it fits teams whose data already sits in AWS.Applies to: Choosing the BI platform a team will license for dashboards and self-service exploration.
- Tableau
- Tableau and Amazon QuickSight turn company data into interactive dashboards that business users explore. Tableau, owned by Salesforce, is known for rich visual analytics and fine control over chart design. QuickSight is a serverless service inside AWS that puts simple setup and natural-language questions ahead of design depth.Applies to: Choosing between two products of the same kind for one job.
- ThoughtSpot
- With ThoughtSpot or Amazon QuickSight, business users get answers about company data through dashboards and AI. ThoughtSpot is built around search and natural-language questions handled by AI agents, so people ask rather than build. QuickSight is the managed BI service of AWS and fits teams that want analytics next to their AWS data.Applies to: Choosing between these two for the enterprise bi decision.
- Power BI
- Power BI and Amazon QuickSight each deliver dashboards and reports as part of a large cloud vendor's offer. Power BI belongs to Microsoft and works closely with Excel, Teams and Azure, so it suits companies built on Microsoft software. QuickSight is the serverless BI service of AWS and suits companies whose data and tooling already sit there.Applies to: Choosing between these two for the enterprise bi decision.
- Qlik Sense
- Self-service dashboards and data discovery for business users come from Qlik Sense or from Amazon QuickSight. Qlik Sense is built on its Associative Engine, which links every value across the data so people can explore freely, and it can run on-premises or in Qlik Cloud. QuickSight is a fully managed AWS service with nothing to install.Applies to: Choosing between these two for the enterprise bi decision.