Amazon QuickSight Review: Pros, Cons, Features, and Pricing
Amazon QuickSight is a cloud-based business intelligence (BI) platform that transforms big data into actionable insights, facilitating faster decision-making. As one of the top BI tools, it serves data analysts, business intelligence professionals, and organizations of all sizes. Amazon QuickSight offers cost efficiency, increased usage, and high return on investment (ROI) as a business intelligence platform.
QuickSight evolved into Amazon Quick Suite in 2025 as a unified, advanced analytics platform that addresses common challenges like data accessibility, governance, and regulatory compliance. It allows teams across finance, healthcare, and technology to visualize, analyze, and expand insights efficiently. In this article, I'll cover Amazon QuickSight's features, pros and cons, use cases, pricing, and more, so you can decide if it aligns with your business intelligence needs.
Amazon QuickSight Evaluation Summary
- $3/user/month
- 30-day free trial
Why Trust Our Software Reviews
Amazon QuickSight Overview
In my opinion, Amazon QuickSight is a solid choice for those seeking a business intelligence platform. It offers strong features and standout capabilities but can be challenging for new users due to its onboarding process. It excels in providing value for money, especially for businesses already integrated into the Amazon Web Services (AWS) ecosystem.
QuickSight is best suited for teams comfortable with AWS services, offering seamless integration and robust analytical features. However, if ease of use and immediate support are your priorities, you might find other data analytics tools more accommodating. Choose QuickSight if you're looking for a cost-effective solution with strong integration capabilities.
pros
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It's reliable for consolidating data from multiple sources.
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The Super-fast, Parallel, In-memory Calculation Engine (SPICE) engine allows you to quickly set up data analytics.
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You can quickly create data visualizations with its user-friendly interface.
cons
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It offers fewer visualization options than some competitors.
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Your team may face a learning curve for complex analytics.
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You might find the customization options limited for advanced use cases compared to other tools.
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Our Review Methodology
How We Test & Score Tools
We’ve spent years building, refining, and improving our software testing and scoring system. The rubric is designed to capture the nuances of software selection and what makes a tool effective, focusing on critical aspects of the decision-making process.
Below, you can see exactly how our testing and scoring works across seven criteria. It allows us to provide an unbiased evaluation of the software based on core functionality, standout features, ease of use, onboarding, customer support, integrations, customer reviews, and value for money.
Core Functionality (25% of final scoring)
The starting point of our evaluation is always the core functionality of the tool. Does it have the basic features and functions that a user would expect to see? Are any of those core features locked to higher-tiered pricing plans? At its core, we expect a tool to stand up against the baseline capabilities of its competitors.
Standout Features (25% of final scoring)
Next, we evaluate uncommon standout features that go above and beyond the core functionality typically found in tools of its kind. A high score reflects specialized or unique features that make the product faster, more efficient, or offer additional value to the user.
We also evaluate how easy it is to integrate with other tools typically found in the tech stack to expand the functionality and utility of the software. Tools offering plentiful native integrations, 3rd party connections, and API access to build custom integrations score best.
Ease of Use (10% of final scoring)
We consider how quick and easy it is to execute the tasks defined in the core functionality using the tool. High scoring software is well designed, intuitive to use, offers mobile apps, provides templates, and makes relatively complex tasks seem simple.
Onboarding (10% of final scoring)
We know how important rapid team adoption is for a new platform, so we evaluate how easy it is to learn and use a tool with minimal training. We evaluate how quickly a team member can get set up and start using the tool with no experience. High scoring solutions indicate little or no support is required.
Customer Support (10% of final scoring)
We review how quick and easy it is to get unstuck and find help by phone, live chat, or knowledge base. Tools and companies that provide real-time support score best, while chatbots score worst.
Customer Reviews (10% of final scoring)
Beyond our own testing and evaluation, we consider the net promoter score from current and past customers. We review their likelihood, given the option, to choose the tool again for the core functionality. A high scoring software reflects a high net promoter score from current or past customers.
Value for Money (10% of final scoring)
Lastly, in consideration of all the other criteria, we review the average price of entry level plans against the core features and consider the value of the other evaluation criteria. Software that delivers more, for less, will score higher.
Core Features
Data Visualization: Create interactive dashboards, graphs, and reports that help your team understand complex data easily. The visuals are customizable, offering insights at a glance.
Ad-hoc Analysis: Perform immediate analysis without a pre-set framework, allowing your team to explore data freely. It's perfect for quick decision-making.
Scalable Architecture: Handle large data volumes effortlessly, such as implementing an extract, transform, load (ETL) pipeline with multiple data sources. It allows you to future-proof your organization’s business intelligence needs.
Natural Language Queries: Ask questions in plain language and get answers quickly with a generative AI chat interface. This feature simplifies data interaction for non-technical users.
Embedded Analytics: Integrate analytics by embedding them into your existing applications. It's a seamless way to provide your team with data-driven insights directly where they work.
Scheduled Reports: Automate report delivery to keep everyone updated without manual intervention. Set schedules to ensure timely information distribution with the necessary formatting.
Ease of Use
Amazon QuickSight can be challenging for new users, especially those unfamiliar with AWS. Its interface, while powerful, may require a learning curve that can slow down your team's initial productivity. However, once you past the onboarding phase, the platform's capabilities, like natural language queries and customizable dashboards, offer substantial value. If your team is tech-savvy or already uses AWS services, you'll likely find QuickSight's features rewarding.
Integrations
Amazon QuickSight integrates with Salesforce, Asana, Jira, ServiceNow, Google Drive, OneDrive, Amazon S3, Microsoft Teams, Slack, Confluence, and more. It also offers an application programming interface (API) and connects with third-party integration tools.
Amazon QuickSight Specs
- 2-Factor Authentication
- Accounts Payable
- Accounts Receivable
- API
- Approval Workflows
- Balance Sheet
- Billing/Invoicing
- Budgeting
- Calendar Management
- Comparative Reporting
- CRM Integration
- Custom Reports
- Customer Management
- Dashboard
- Data Export
- Data Import
- Data Visualization
- Expense Tracking
- External Integrations
- Forecasting
- General Account Ledger
- Historical Data Analysis
- Inventory Tracking
- Multi-Currency
- Multi-User
- Notifications
- P&L
- Payroll
- Scenario Planning
- Scheduling
- Supplier Management
- Tax Management
- Time Management
