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Overview

Product Information on Amazon QuickSight

Updated 10th August 2022

What is Amazon QuickSight?

Amazon QuickSight allows everyone in your organization to understand your data by asking questions in natural language, exploring through interactive dashboards, or automatically looking for patterns and outliers powered by machine learning. Amazon QuickSight allows you to ask conversational questions of your data and use Q’s ML-powered engine to receive relevant visualizations, perform accurate forecasting and what-if analysis, and embed interactive visualizations and dashboards, sophisticated dashboard authoring, or natural language query capabilities in your applications to differentiate user experience and unlock new monetization opportunities.

Amazon QuickSight Pricing

Amazon QuickSight Product Images

Amazon QuickSight
Amazon QuickSight

Overall experience with Amazon QuickSight

Ai Engineer
250M - 500M USD, Healthcare and Biotech
FAVORABLE

“Integration With AWS Is Seamless But Customization Remains Limited In QuickSight”

5.0
Mar 9, 2026
I've been using Amazon QuickSight for building dashboards and visualizing data from different sources within AWS. Overall, it's been a solid business intelligence tool, especially if most of your infrastructure is already on AWS Cloud. The biggest advantage is how easily it connects with AWS services. Once the data pipeline is ready, creating dashboards and sharing them with teams becomes fairly straightforward. It might not be as flashy as some other BI tools, but it gets the job done. For teams that already use AWS heavily, it fits naturally into the workflow without needing to bring in a completely separate analytics platform.
Engineer
1B - 3B USD, Retail
CRITICAL

“Seamless AWS Integration and Fast Insights With Some Advanced Feature Limitations”

3.0
Mar 25, 2026
For our team, Amazon QuickSight has noticeably changed how we interact with data. Being able to ask questions in plain language and quickly get dashboards or summaries has significantly reduced our turn around time for analysis. Since most of our data stack is already in AWS, the integration felt seamless and easy to get started with. That said, as we moved into more advanced use cases, we did run into some UI inconsistencies and limitations with more complex modelling which can slow things down at times.

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

Peer Discussions

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Amazon QuickSight

byAmazon Web Services (AWS)
in
4.5
Market Presence: Analytics and Business Intelligence Platforms, Agentic Analytics

About Company

Company Description

Updated 6th March 2025

Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.

Company Details

Updated 23rd December 2024
Company type
Public
Year Founded
2006
Head office location
Seattle, United States
Number of employees
10001+
Website
http://aws.amazon.com

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User Sentiment About Amazon QuickSight
Reviewer Insights for: Amazon QuickSight
Deciding Factors: Amazon QuickSight Vs. Market Average

Amazon QuickSight Likes & Dislikes

Like

One of the best things about QuickSight ishow well it integrates with AWS servicess. Data stores in AWS can be connected relatively quickly without needing complicated setup. The interface is also fairly easy to learn. Creating charts, tables, dashboards doesn't require a lot of technical knowledge, which makes it accessible for busi ness users. Another advantage is SPICE engine, which allows datasets to be cached in memory. This improves dashboard performance and allows for faster query responses compared to running queries directly on the source database every time.

Like

What really impressed me was how it handles natural language queries - being able to type something like weekly anomalies in customer churn and instantly get a usable visual still feels uncannily intuitive. The automated summaries and prompt-based dashboard creation have saved us a significant amount of time compared to the old approach of writing SQL and iterating on designs. We also benefit a lot from the native AWS integration, QuickSight picking up updates from our redshift tables without much manual effort has been very helpful for us.

Like

Very fair pricing model, especially the capacity pricing feature. The pricing model keeps it feasible for us to deploy analytics throughout the whole organisation without running up a massive bill for users that aren't even active. The agentic analysis features enable our users to find root causes for certain insights much faster. The agent showing its thought process is also a must-have for us since it allows our users to better verify the output of the agent. There are many seamless integrations, making the setup of data sources, etc. trivial. The product is super fast and scalable.

Dislike

- One thing that can be frustrating at times is the dashboard customization options. Compared to some other BI tools, the design flexibility feels a bit limited. If you want highly customized visuals or complex layout control, you may find the option to be restrictive. - Another challenge is the learning curve around permissions and sharing dashboards. Managing access control across multiple users and datasets sometimes takes more effort than expected. - Data preparation inside QuickSight is also not always as powerful as dedicated data transformation tools. In many cases, it's easier to prepare the data outside QuickSight before importing it.

Dislike

The main limitation for us has been around customisation - some of the visual tweaks, layout controls and advanced calculations feel restricted compared to more flexible BI tools. The UI also has a few issues, things like filters and scrolling don't behave as smoothly as you'd expect during deeper analysis. While it is powerful, it can occasionally return overly broad or generic insights when working with more complex datasets, so some manual refinement is still needed.

Dislike

It lacks a bit in advanced customisation, or at least makes it hard to do properly. For example, when you need to create dashboards that match your branding guidelines / style perfectly, it quickly becomes very tedious to accomplish. The docs are sometimes a bit lacking when you need to do more advanced stuff, or when troubleshooting. As an admin, managing the lifecycle of a dashboard is a bit tedious. There's no straightforward way to promote a dashboard through environments, to production. Complex calculations can be a pain due to difficult syntax, and error messages are often unhelpful in those cases.

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  • Engineer
    1B-10B USD
    Retail
    Review Source

    Seamless AWS Integration and Fast Insights With Some Advanced Feature Limitations

    3.0
    Mar 25, 2026
    For our team, Amazon QuickSight has noticeably changed how we interact with data. Being able to ask questions in plain language and quickly get dashboards or summaries has significantly reduced our turn around time for analysis. Since most of our data stack is already in AWS, the integration felt seamless and easy to get started with. That said, as we moved into more advanced use cases, we did run into some UI inconsistencies and limitations with more complex modelling which can slow things down at times.
  • Ai Engineer
    50M-1B USD
    Healthcare and Biotech
    Review Source

    Integration With AWS Is Seamless But Customization Remains Limited In QuickSight

    5.0
    Mar 9, 2026
    I've been using Amazon QuickSight for building dashboards and visualizing data from different sources within AWS. Overall, it's been a solid business intelligence tool, especially if most of your infrastructure is already on AWS Cloud. The biggest advantage is how easily it connects with AWS services. Once the data pipeline is ready, creating dashboards and sharing them with teams becomes fairly straightforward. It might not be as flashy as some other BI tools, but it gets the job done. For teams that already use AWS heavily, it fits naturally into the workflow without needing to bring in a completely separate analytics platform.
  • Software Developer
    50M-1B USD
    Media
    Review Source

    Scalable Analytics Solution With Top Notch Agentic Capabilities But Customization Challenges Persist

    4.0
    Mar 10, 2026
    It is a very scalable and cost-effective solution for our needs. Since we are heavily invested in the vendor's ecosystem, the integrations it offers with other products makes our setup easy. End-user UX sometimes feels like it has some room for improvement.
  • Software Engineer
    <50M USD
    IT Services
    Review Source

    Good AWS-native BI tool with strong integrations but limited customisation

    4.0
    Apr 9, 2026
    My overall experience with Amazon QuickSight has been good especially when we are already using AWS services. It integrates well with AWS data sources and makes it relatively easy to build dashboards once datasets are setup. SPICE helps with performance for large datasets which is useful for day to day reporting.
  • SOFTWARE DEVELOPER
    50M-1B USD
    Software
    Review Source

    Fast, scalable BI on AWS with room to grow in customization.

    4.0
    Mar 20, 2026
    Amazon QuickSight has been a reliable and scalable analytics platform for our dashboards and reporting needs, and it integrates well with our existing AWS ecosystem. It is easy to share insights with business stakeholders and the performance is generally good even with large datasets.
...
Showing Result 1-5 of 123

Showing data for 87 ratings and reviews for Agentic Analytics market. View all 1014 ratings and reviews across markets for a complete picture.

4.5

(87 Ratings)

Rating Distribution

5 Star
48%
4 Star
48%
3 Star
3%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.4

Integration & Deployment

4.5

Service & Support

4.4

Product Capabilities

4.4