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Amazon QuickSight vs Microsoft Power BI vs Qlik Sense comparison

 

Comparison Buyer's Guide

Executive Summary

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
7.9
Microsoft Power BI is cost-effective, user-friendly, and efficient, enhancing BI capabilities and saving time and money.
Sentiment score
6.4
Qlik Sense provides quick ROI through enhanced data access, improved decision-making, cost-effectiveness, and reduced manual efforts.
In a world surrounded by data, tools that allow navigation of large data volumes ensure decisions are data-driven.
Power BI is easy to deploy within an hour, providing robust security against data leaks.
In my organization, we moved from OBI to Qlik Sense due to limitations with OBI, resulting in very high ROI.
 

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
6.7
Microsoft Power BI customer service is responsive and effective, but users frequently rely on forums for quicker solutions.
Sentiment score
6.6
Qlik Sense customer service is excellent, but technical support receives mixed reviews; users often rely on the community for help.
The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug.
We have a partnership with Microsoft, involving multiple weekly calls with dedicated personnel to ensure our satisfaction.
The support is good because there is also a community available.
While tech support is comprehensive, the stability of Qlik Sense means I generally do not need it.
Technical support requires improvement.
In Turkey, the consultant firms are very professional, and they support you.
 

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
Microsoft Power BI is scalable, integrates well with Azure, but faces challenges with large datasets and concurrent users.
Sentiment score
7.8
Qlik Sense excels in scalability, handling large data effortlessly, though licensing and integration issues may arise for some.
You expect only a small percentage of users concurrently, but beyond a thousand concurrent users, it becomes difficult to manage.
With increasing AI capabilities, architectural developments within Microsoft, and tools like Fabric, I expect Power BI to scale accordingly.
As more data is processed, performance issues may arise.
It performs well in terms of performance and load compared to others.
I believe it is easily scalable.
 

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
7.5
Microsoft Power BI is stable and reliable, excelling with smaller datasets but may need resources for larger ones.
Sentiment score
7.8
Qlik Sense is reliable, with minimal issues and strong support, efficiently handling large data volumes and earning high ratings.
In terms of stability, there's no data loss or leakage, and precautions are well-managed by Microsoft.
We typically do not have problems with end-user tools like Excel and Power BI.
It is very stable for small data, but with big data, there are performance challenges.
The stability is very good.
 

Room For Improvement

Amazon QuickSight needs improvements in cost, integration, user-friendliness, features, and compatibility for enhanced competitiveness and usability.
Microsoft Power BI faces criticism for Windows dependency, interface complexity, limited features, and challenges in integration and pricing.
Users seek enhancements in Qlik Sense's integration, customization, analytics, and performance, alongside better interfaces, training, and collaboration features.
This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today.
Access was more logical in how it distinguished between data and its formatting.
Microsoft updates Power BI monthly based on user community feedback.
Power BI has better visualizations and interactions with updates in 2023 that provide ease of use.
Providing an API feature to access data from the dashboard or QEDs could be beneficial.
Maybe more AI or real-time analytics could be incorporated.
 

Setup Cost

Amazon QuickSight offers variable cost-effective pricing, requiring careful configuration to manage usage expenses compared to competitors like Power BI.
Microsoft Power BI provides cost-effective pricing options, with plans ranging from free to $4,995 monthly, competing with Tableau and Cognos.
Enterprise users find Qlik Sense pricing competitive yet high, with flexible licensing models requiring careful negotiation for cost efficiency.
It is not expensive, but it is also not cheap.
I found the setup cost to be expensive
Power BI isn't very cheap, however, it is economical compared to other solutions available.
The pricing for Microsoft Power BI is low, which is a good selling point.
Compared to Power BI, it is definitely costly.
Among the BI tools and data analytics tools, Qlik is the most expensive.
For small or large organizations needing many or few licenses, pricing varies.
 

Valuable Features

Amazon QuickSight is favored for its ease of use, AWS integration, affordability, and powerful data visualization and security features.
Power BI offers seamless Microsoft integration, data visualization, and self-service tools, enhancing data-driven decisions with flexibility and affordability.
Qlik Sense provides intuitive data visualization, rapid development, scalability, and customization with powerful analytics and seamless data integration.
The natural language query is very important, and natural language processing is crucial for disseminating dashboards across multiple formats and mechanisms.
In today's data-driven environment, these tools are of substantial value, particularly for large enterprises with numerous processes that require extensive data analysis.
Within the organization, Microsoft Power BI is used to create dashboards and gain insights into data, enhancing data-driven decision-making.
The solution makes it easy for me to develop reports and publish them.
From an end-user perspective, it's convenient and performance-oriented, providing something meaningful from all the organization's data.
It is a single product that I can use as an ETL database, BI, and more.
It has an interactive interface with Qlik graphs, pivot, and interactivity, which makes it easier to use than other tools.
 

Mindshare comparison

BI (Business Intelligence) Tools
BI (Business Intelligence) Tools
Data Visualization
 

Featured Reviews

Nerissa Serrano - PeerSpot reviewer
Useful for developing dashboards for various lines of business
Yes, before using Amazon QuickSight, I worked with other products, including Power BI and Tableau. We switched to Amazon QuickSight since it was more affordable. Compared to Amazon QuickSight, Power BI offers a broader range of visualization options and more flexible formatting capabilities. Power BI provides more visual choices, easier page formatting with specific control options, and the ability to use bookmarks to enhance the dashboard's appeal. One area where Amazon QuickSight could improve is its formatting features for dashboards. For small-scale businesses, Amazon QuickSight is cost-effective. However, for larger datasets, tools like Power BI and Tableau may be more efficient, even if they require additional AWS services. QuickSight's pay-per-view model is suitable for smaller data, but your choice depends on your data size and requirements.
Shoury Priyanshu - PeerSpot reviewer
Facilitates seamless data aggregation with some outdated visual elements hindering user appeal
Real-time data integration is an area for improvement. Although I've worked on several solutions involving real-time integration, it's not very user-friendly and often lags, especially with over a million data rows. This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today. There are challenges with scalability, requiring multiple pages in dashboards to manage these issues. Visualization could be improved as it appears outdated. Users, especially newcomers, find it unappealing and not user-friendly.
Vishal_Goyal - PeerSpot reviewer
In-memory data storage boosts performance
The advantages compared to other BI tools show architectural differences. The main feature is that it keeps all the data in memory. It doesn't retrieve the data from data sources when I need it on the dashboard; instead, it quickly provides the desired data, making it very fast compared to other BI tools. The ROI is very high using Qlik Sense. It offers many benefits of BI. It is flexible from a developer's point of view, allowing me to accomplish many tasks compared to other BI tools. From an end-user perspective, it's convenient and performance-oriented, providing something meaningful from all the organization's data.
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Comparison Review

it_user79932 - PeerSpot reviewer
Feb 4, 2015
Comparison of SAP BO, Tableau, QlikView, Cognos, Microsoft, OBIEE and Pentaho
1. SAP BO/BI Enterprise scalability Security Ease of use Semantic layer 2. Tableau Visualization Data discovery Turnaround time 3. IBM Cognos Enterprise scalability Security In-memory feature 4. MS BI - Flexibility 5. Pentaho - Open source but still enterprise grade 6. QlikView Data…
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
9%
Government
6%
Educational Organization
37%
Financial Services Firm
9%
Computer Software Company
7%
Government
6%
Educational Organization
54%
Financial Services Firm
9%
Computer Software Company
6%
Manufacturing Company
5%
 

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 co...
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 ...
Seeking lightweight open source BI software
There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I wou...
Is Power BI a complete platform or only a visualization tool?
Power BI is an advanced visualization tool oriented to big data with a very complete set of widgets to visualize info...
How does Oracle OBIEE compare with Microsoft BI?
Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are ...
Seeking lightweight open source BI software
It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik ...
What do you like most about Qlik Sense?
The most valuable features of Qlik Sense are its speed and seamless development of web technologies.
What is your experience regarding pricing and costs for Qlik Sense?
Costs depend on the deal. They offer various licensing metrics based on our needs. For small or large organizations n...
 

Comparisons

 

Also Known As

QuickSight
SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
QlikSense
 

Overview

 

Sample Customers

MLB Advanced Media, Infor, HotelBeds, Gemini, Jivochat, Edmunds.com
Accenture Adidas Aetna AIG Airbus Alibaba Allstate Amazon American Express Aon AT&T Audi Bank of America BASF Bayer Berkshire Hathaway Boeing Coca-Cola Comcast Cisco Coca-Cola Dell Disney Emirates Equinix FedEx Ford GE Google H&M Home Depot Honda IBM Intel JPMorgan Chase Kellogg's Kroger L'Oréal McDonald's Merck MetLife Microsoft Nike Oracle P&G PepsiCo Procter & Gamble Prudential Financial SAP Siemens Snapchat Spotify Starbucks Target Toyota T-Mobile Unilever Visa Walmart WeWork World Bank Xerox
Abbvie, Airbus, Barclays, BT Openreach, BMW, Daimler AG, HSBC, IKEA, Nationwide Building Society, Royal Mail Group, Sanofi, Siemens, Wendy'', Vodafone, Volvo
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853,118 professionals have used our research since 2012.