Amazon QuickSight vs Metabase comparison

Amazon Web Services (AWS) and Metabase are both solutions in the BI (Business Intelligence) Tools category. Amazon Web Services (AWS) is ranked #4 with an average rating of 7.9, while Metabase is ranked #26 with an average rating of 7.7. Amazon Web Services (AWS) holds a 3.3% mindshare in BIT, compared to Metabase’s 0.9% mindshare. Additionally, 68% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Metabase users who would recommend it.

Amazon QuickSight

Read 34 Amazon QuickSight reviews

7,011 Views
5,258 Comparison Views

68% willing to recommend

Metabase

Read 4 Metabase reviews

1,367 Views
1,367 Comparison Views

100% willing to recommend

Amazon QuickSight

Metabase

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Amazon QuickSight and Metabase serve as competing products in business intelligence and data analysis. While Amazon QuickSight is noted for its cost-effectiveness and user support, Metabase often has an edge due to its robust features and perceived value.

Features: Amazon QuickSight offers strong integration within the AWS ecosystem, powerful analytical tools, and scalable infrastructure. Metabase is known for its ease of use when querying databases, appealing visualization options, and quick generation of detailed reports. QuickSight is advantageous for AWS users, but Metabase's user-friendly approach and versatility attract a wider audience.

Ease of Deployment and Customer Service: Amazon QuickSight provides a seamless deployment experience in AWS environments, benefiting from tight integration with Amazon's support services. In contrast, Metabase offers straightforward deployment with options for self-hosting and cloud solutions, complemented by extensive community resources and adaptability, appealing particularly to tech-savvy teams.

Pricing and ROI: Amazon QuickSight is noted for a competitive pricing model especially within AWS, offering good ROI through scalability and integration. Metabase, being open-source, minimizes setup expenses and provides substantial long-term value through customizable deployment and functionalities. QuickSight is economical for AWS-centric organizations, while Metabase presents strong cost efficiency beyond initial setup, leveraging its flexibility and wide application scope.

To learn more, read our detailed Amazon QuickSight vs. Metabase Report (Updated: April 2026).

Buyer's Guide

Amazon QuickSight vs. Metabase

April 2026

Download the complete report

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon QuickSight

Ranking in BI (Business Intelligence) Tools

4th

Average Rating

7.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Metabase

Ranking in BI (Business Intelligence) Tools

26th

Average Rating

7.6

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the BI (Business Intelligence) Tools category, the mindshare of Amazon QuickSight is 3.3%, down from 7.2% compared to the previous year. The mindshare of Metabase is 0.9%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Amazon QuickSight	3.3%
Metabase	0.9%
Other	95.8%

BI (Business Intelligence) Tools

Featured Reviews

Samuel Ndip Takou

IT Infrastructure Support Specialist at Olam Agri

Can always access reports through intuitive dashboards that support diverse data connections

I can't specifically say how Amazon QuickSight could be improved since I focus more on using it and leveraging its functionalities. However, I could invest additional time to explore possible feedback from customers regarding their challenges. As cloud engineers, our capacity to improve is limited since AWS manages the services, but I would be open to feedback. I'm aware there are minor details that AWS could enhance, such as optimizing costs for beginners or small startups, which can be steep when trying to take Amazon QuickSight into production. Many have noticed that AWS services greatly benefit well-established companies, while startups struggle with costs as they transition data out of AWS. Understanding how AWS charges for Amazon QuickSight usage is critical for all users wanting to visualize their data effectively.

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Ibrahim Izz El-Deen

Data Engineer at USYTech

Modern analytics tool enhances user interactions with neat visualizations for improved decision-making

One area for improvement could be in offering more advanced features even in the open-source edition or making the paid versions more cost-effective. Data scalability, especially if the data grows, requires manual infrastructure management, which could be improved. Increased customization and visualization options in the open-source edition would be beneficial. Additionally, it might be helpful if more complex queries and stored procedures were supported.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The integration is very seamless. We stored our result CSV files in S3 and connected directly from there."

"QuickSight makes it easy to provision, create, and publish dashboards."

"The solution is simple to implement."

"It works well with the AWS ecosystem."

"Whatever I pay for Amazon QuickSight, I get back, so I am not worried about ROI."

"It helped the managers to visualize the data activities."

"The solution's most valuable feature is its flexibility to visualize certain logs."

"There is no REVIEW content provided to evaluate."

More Amazon QuickSight pros

"The most valuable feature of the solution is its interface, which is used to query data into Metabase. I think it is very useful and handy for a novice."

"Metabase's key advantage is its modern approach to business intelligence."

"I rate the solution’s stability a nine out of ten."

"It is easy for a new user to learn the tool."

Cons

"I don't want to say very positive at the moment about the pricing of Amazon QuickSight because my initial understanding is that it's not an easy one to adapt, but the choices are there."

"Currently, auto-reporting is limited to some 30 times a day. As it is, if you want to set a data set to get it refreshed every half an hour, you cannot achieve it."

"The number of features in the product is limited in comparison with the other tools in the market, like Power BI."

"One area where Amazon QuickSight could improve is its formatting features for dashboards."

"An area for improvement in Amazon QuickSight is storage. Data cleanup also needs improvement because I'm experiencing errors when cleaning the data. Amazon QuickSight needs video tutorials showing its different functions and purposes."

"It is a simple tool with limited features. Its visualization set is very limited, and it also has limited functionality. An intelligence tool should not be only for creating reports. Currently, we have to do all computational and mathematical operations outside. We should be able to do such operations in an intelligence tool like this. As an intelligence tool, it should support dynamic refresh. QuickSight currently supports the refresh at a minimum of one hour, and it is not suitable for dynamic dashboards that require frequent refreshes."

"The setup process falls somewhere in the middle. It is not straightforward, nor is it complex, but there is a significant amount of work needed on the back end to make it function."

"The product has some storage and SPICE data issues."

More Amazon QuickSight cons

"The solution could provide more customization."

"One area for improvement could be in offering more advanced features even in the open-source edition or making the paid versions more cost-effective."

"I think there is a need to add a few more advanced visuals in the tool. There are a standard set of visuals in the tool which are available."

"The tool must be made more user-friendly."

Pricing and Cost Advice

"I'm using a paid version of Amazon QuickSight, paying about $22 monthly. As I have yet to learn about the pricing for other tools, such as Power BI, I won't be able to compare."

"The solution's pricing is cheaper than the other products in the market."

"I rate the price of Amazon QuickSight a four on a scale of one to ten, where one is a low price, and ten is a high price."

"The product pricing is better than other vendors."

"A highly affordable cost structure with fixed membership and timeframe basis options."

"The Amazon QuickSight licensing model my company's on is pay-as-you-go, but I wouldn't be able to give the figures because that's handled by the finance department."

"The pricing is cost-effective with a good plan."

"Amazon QuickSight you subscribe and you use the service."

More Amazon QuickSight pricing and cost advice

"Using the open-source edition of Metabase on AWS EC2 cost us around $29 per month for the EC2 instance, which was affordable."

"I would not say it is a cheap tool, but it's viable."

"The product is open-sourced."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

11%

Computer Software Company

University

Comms Service Provider

13%

Computer Software Company

12%

Financial Services Firm

12%

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	10
Large Enterprise	16

No data available

Questions from the Community

What do you like most about Amazon QuickSight?

The integration is very seamless. We stored our result CSV files in S3 and connected directly from there.

See all answers

What is your experience regarding pricing and costs for Amazon QuickSight?

Amazon QuickSight charges $250 per user, which becomes expensive when managing multiple departments. However, this cost is offset by the advantages it provides.

See all answers

What needs improvement with Amazon QuickSight?

I don't want to hypothetically say about the effectiveness of Amazon QuickSight in terms of machine learning, so I need to pass on that. At the moment, on the cloud perspective, we have Amazon majo...

See all answers

What is your experience regarding pricing and costs for Metabase?

Using the open-source edition of Metabase on AWS EC2 cost us around $29 per month for the EC2 instance, which was affordable.

See all answers

What needs improvement with Metabase?

See all answers

What is your primary use case for Metabase?

I used Metabase for business intelligence and analytics in my organization. We connected Metabase to AWS Athena, allowing us to query and visualize data stored in S3 buckets.

See all answers

Comparisons

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Compared 52% of the time

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Compared 7% of the time

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Compared 6% of the time

QlikView vs Amazon QuickSight

Compared 3% of the time

ThoughtSpot vs Amazon QuickSight

Compared 2% of the time

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Compared 12% of the time

Databox vs Metabase

Compared 10% of the time

Omni vs Metabase

Compared 9% of the time

Hex vs Metabase

Compared 9% of the time

Luzmo vs Metabase

Compared 9% of the time

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Product Reports

Buyer's Guide

Amazon QuickSight

April 2026

Download Amazon QuickSight product report

Buyer's Guide

BI (Business Intelligence) Tools

April 2026

Download Metabase product report

Also Known As

QuickSight

No data available

Overview

Amazon QuickSight offers rapid visualization creation, cloud-native AWS integration, ease of use, scalability, and affordability. With strong data connectors and machine learning tools, it supports real-time insights and intuitive data handling.

Amazon QuickSight is designed for fast visualizations, interactive dashboards, and extensive data connectivity, making it suitable for finance and academia. Offering browser-based access and advanced security, it enables organizations to integrate data seamlessly, handling both real-time and historical insights. Despite room for improvement in visuals and integration with other cloud providers, its flexibility and powerful analytics serve diverse reporting needs efficiently.

What are Amazon QuickSight's most important features?

Fast Visualization: Rapid creation of detailed visual reports.
Cloud-Native Integration: Seamless connection with AWS infrastructure.
Scalability: Easily scales according to data and user needs.
Advanced Security: Ensures data protection and compliance.
Machine Learning Tools: Offers predictive analytics and AI capabilities.
Interactive Dashboards: Allows real-time data exploration and interaction.
Extensive Documentation: Provides robust resources for user support.

What benefits and ROI should users look for?

Ease of Use: Simplifies data visualization and reporting tasks.
Cost-Effectiveness: Affordable pricing suitable for scaling businesses.
Real-Time Insights: Access to immediate data-driven decisions.
Intuitive Design: Enhances user interaction and data manipulation.
Comprehensive Integration: Data integration from multiple sources like S3, SAP, MySQL.

Amazon QuickSight is employed in finance and academia, aiding in KPI tracking and analytics through efficient data integration and visualization. It supports strategic business decisions by offering insights from sources such as S3 and MySQL, making it valuable for financial reporting and research needs.

Amazon Web Services (AWS)

Metabase is a business intelligence tool designed for analyzing data with ease. It's known for its straightforward setup, making data visualization and exploration accessible to teams without coding expertise.

Metabase simplifies the process of deriving insights from data. It allows users to pose questions and instantly view results in the form of tables or charts. Its open-source nature offers flexibility for customization, paired with a clean and intuitive dashboard providing an efficient way to manage and share data insights. Users appreciate its ability to connect with multiple databases, enabling seamless data integration and analysis across platforms.

What are the valuable features?

Ad-hoc Querying: Enables non-technical users to create complex queries visually.
Dashboard Sharing: Facilitates easy sharing of insights through customizable dashboards.
Data Visualization: Supports various chart types for better data interpretation.
Open Source: Offers the flexibility to tailor features to specific business requirements.
Database Connectivity: Connects with numerous data sources to unify data analysis.

What are the benefits and ROI?

Cost Efficiency: Lowers costs by eliminating the need for costly proprietary solutions.
Increased Productivity: Saves time with easy setup and quick data interpretation.
Improved Decision-Making: Access to actionable insights enhances strategic decisions.
Flexibility: Customizable to meet evolving business data analysis needs.

Metabase implementation varies across industries such as tech, e-commerce, and healthcare, allowing firms to leverage analytics for performance optimization. Companies in tech appreciate seamless integration with SQL databases, while e-commerce benefits from sales trend analysis. Healthcare utilizes Metabase for patient data evaluation, aiding in informed healthcare service decisions.

Metabase

Sample Customers

MLB Advanced Media, Infor, HotelBeds, Gemini, Jivochat, Edmunds.com

Information Not Available

Buyer's Guide

Amazon QuickSight vs. Metabase

April 2026

Free Report: Amazon QuickSight vs. Metabase

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