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Amazon QuickSight vs ThoughtSpot comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 2025

Review summaries and opinions

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

ROI

Sentiment score
6.5
Amazon QuickSight offers cost-effective returns with time savings, robust security, but ROI varies based on company usage efficiency.
Sentiment score
7.2
ThoughtSpot enhances efficiency and strategic decision-making, offering time savings and ease of use, benefiting organizations without large user bases.
Using ThoughtSpot has resulted in significant time savings and improved business sales by allowing us to identify sellers and buyers across regions, facilitating targeted marketing.
 

Customer Service

Sentiment score
6.6
Amazon QuickSight’s customer service experiences vary, with some praising fast support and others relying on useful documentation.
Sentiment score
6.9
ThoughtSpot's support is praised for responsiveness and knowledge, but some users note insufficient responses and room for improvement.
ThoughtSpot provides a dedicated customer success person and the ability to submit tickets online, with a response time of no more than a day.
I stopped opening tickets due to insufficient and untimely responses.
The knowledge base for ThoughtSpot is less robust compared to others.
 

Scalability Issues

Sentiment score
6.8
Amazon QuickSight is scalable but faces performance issues with large datasets, requiring careful setup for optimal performance.
Sentiment score
7.0
ThoughtSpot scales well with Snowflake integration but faces governance issues, lacking advanced features, impacting user role management.
The platform does not have technical problems with scaling data or connections.
Tableau, Power BI, or Looker have separate tools for preparation, customization, and storytelling.
Scalability depends on your contract with them, whether it's consumption-based or row-based.
 

Stability Issues

Sentiment score
7.4
Amazon QuickSight is stable and reliable, yet less mature than Tableau or Power BI, with minor functionality challenges.
Sentiment score
7.6
ThoughtSpot is reliable with large datasets but faces integration issues and delays in updates and resizing.
I use it primarily for large datasets, and it performs faster than regular data visualization tools such as Power BI, which has limits on dataset size.
The upgrades are smooth with no downtime, which is super important.
The responsiveness of accessing live data is exceptional and faster than most other BI tools.
 

Room For Improvement

Amazon QuickSight needs improvements in cost, integration, user-friendliness, features, and compatibility for enhanced competitiveness and usability.
ThoughtSpot needs enhanced visualization, geospatial reporting, and customization to compete with Power BI and Tableau's advanced features.
Currently, it is not as customizable as the options available on Power BI or Tableau.
Handling governance when there are many models and dashboards is complex.
Enhancing integration capabilities with other tools like DBT would also be beneficial as it would make our lives easier.
 

Setup Cost

Amazon QuickSight offers variable cost-effective pricing, requiring careful configuration to manage usage expenses compared to competitors like Power BI.
ThoughtSpot offers flexible and competitive pricing, appealing to smaller enterprises, with rates between Power BI and Tableau.
It is not expensive, but it is also not cheap.
ThoughtSpot's pricing is reasonable and in line with other BI tools.
HubSpot is expensive.
 

Valuable Features

Amazon QuickSight is favored for its ease of use, AWS integration, affordability, and powerful data visualization and security features.
ThoughtSpot enables users to intuitively analyze data independently, supporting decision-making with fast performance and seamless database connectivity.
The natural language query is very important, and natural language processing is crucial for disseminating dashboards across multiple formats and mechanisms.
Its compatibility with most databases, including the latest from FlexMovely and Redshift, allows users to create joins and worksheets easily.
The main core of HubSpot is to create models, connect data pipelines, and create business models and dashboards on top of them.
ThoughtSpot excels in being self-service oriented, allowing users who aren't developers to easily create their own reports and visualizations, making it very intuitive.
 

Categories and Ranking

Amazon QuickSight
Ranking in BI (Business Intelligence) Tools
3rd
Average Rating
7.2
Reviews Sentiment
7.3
Number of Reviews
29
Ranking in other categories
No ranking in other categories
ThoughtSpot
Ranking in BI (Business Intelligence) Tools
17th
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
11
Ranking in other categories
Data Visualization (13th), Embedded BI (8th)
 

Mindshare comparison

As of March 2025, in the BI (Business Intelligence) Tools category, the mindshare of Amazon QuickSight is 7.1%, down from 11.0% compared to the previous year. The mindshare of ThoughtSpot is 1.4%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools
 

Featured Reviews

Mohd Farhan - PeerSpot reviewer
Has seamless data filtering and visualization for client satisfaction
One area for improvement is the cost, as it's a bit expensive. The caching mechanism also charges too much if I need to cache any data. Sometimes it takes time to display data, suggesting a need for enhancement in data visualization speed. Additionally, the role-level security is challenging to implement, and it could be improved to allow access control per department more easily.
Sushma Polavarapu - PeerSpot reviewer
Creates user-friendly analysis environments for large datasets
The tool is user-friendly for the end users. It is primarily a search-based tool. Users do not need a technical background to work directly on the dataset. Its compatibility with most databases, including the latest from FlexMovely and Redshift, allows users to create joins and worksheets easily. ThoughtSpot is fast, even with one to ten terabytes of data.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
13%
Manufacturing Company
9%
Government
7%
Financial Services Firm
23%
Computer Software Company
11%
Manufacturing Company
11%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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.
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.
What needs improvement with Amazon QuickSight?
One area for improvement is the cost, as it's a bit expensive. The caching mechanism also charges too much if I need to cache any data. Sometimes it takes time to display data, suggesting a need fo...
What do you like most about ThoughtSpot?
It's easy to drill down or expand data to get more details right out of the box.
What is your experience regarding pricing and costs for ThoughtSpot?
ThoughtSpot is expensive. When compared with Tableau and Sisense, it is around seven or eight on the expense scale.
What needs improvement with ThoughtSpot?
The visualization customization needs improvement. Currently, it is not as customizable as the options available on Power BI or Tableau. It mainly offers basic chart options.
 

Comparisons

 

Also Known As

QuickSight
No data available
 

Overview

 

Sample Customers

MLB Advanced Media, Infor, HotelBeds, Gemini, Jivochat, Edmunds.com
Primary Capital Mortgage, Sterling Backcheck, RichRelevance, Rambus, Batteries Plus Bulbs
Find out what your peers are saying about Amazon QuickSight vs. ThoughtSpot and other solutions. Updated: March 2025.
839,319 professionals have used our research since 2012.