Amazon QuickSight vs Oracle Analytics Cloud comparison

Amazon Web Services (AWS) and Oracle are both solutions in the BI (Business Intelligence) Tools category. Amazon Web Services (AWS) is ranked #4 with an average rating of 8.3, while Oracle is ranked #14 with an average rating of 8.0. Amazon Web Services (AWS) holds a 3.3% mindshare in BIT, compared to Oracle’s 1.4% mindshare. Additionally, 68% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 77% of Oracle users who would recommend it.

Amazon QuickSight

Read 34 Amazon QuickSight reviews

7,693 Views
5,924 Comparison Views

68% willing to recommend

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

4,728 Views
3,215 Comparison Views

77% willing to recommend

Amazon QuickSight

Oracle Analytics Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Amazon QuickSight and Oracle Analytics Cloud are competitors in the business intelligence and analytics space. Amazon QuickSight appears to have the upper hand for AWS-integrated companies due to its cost-effectiveness and ease of use.

Features: Amazon QuickSight integrates seamlessly with AWS services and offers machine learning capabilities. It provides fast, self-service analytics and unique features like Amazon Q for natural language queries. SPICE enhances performance with large datasets. Oracle Analytics Cloud excels in robust data visualization, dashboarding, and machine learning. It offers strong data security, enterprise reporting, and is ideal for large enterprises needing detailed insights.

Room for Improvement: Amazon QuickSight needs more advanced visualization options, better data integration tools, and improved machine learning support. Enhanced data refresh options and cost competitiveness could be beneficial. Oracle Analytics Cloud should improve its visualization, metadata management, and AI/machine learning integration. The user interface could be more intuitive, with simplified data connectivity and more flexible dashboarding features.

Ease of Deployment and Customer Service: Amazon QuickSight's public cloud deployment makes it easily accessible and manageable for AWS users. It has decent documentation, though customer support can vary. Oracle Analytics Cloud is deployable on public, hybrid, and on-premises models, offering flexibility but with potentially longer setup times and a steeper learning curve. Customer support is generally fast and supportive, though some inconsistencies are noted.

Pricing and ROI: Amazon QuickSight provides competitive pricing with a pay-as-you-go model, particularly beneficial for AWS users, offering a higher ROI due to lower costs despite additional storage and compute charges. Oracle Analytics Cloud is more expensive, comparable to Tableau and Power BI, but its feature set meets enterprise needs. While offering good ROI, its flexibility and comprehensive analysis justify the price for larger organizations.

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

Buyer's Guide

Amazon QuickSight vs. Oracle Analytics Cloud

April 2026

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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

Oracle Analytics Cloud

Ranking in BI (Business Intelligence) Tools

14th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Visualization (11th)

Mindshare comparison

As of May 2026, in the BI (Business Intelligence) Tools category, the mindshare of Amazon QuickSight is 3.3%, down from 6.7% compared to the previous year. The mindshare of Oracle Analytics Cloud is 1.4%, down from 2.4% 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%
Oracle Analytics Cloud	1.4%
Other	95.3%

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.

Read full review

DavidMalizia

Head Of Data And Ai at a tech services company with 11-50 employees

Data projects have grown rapidly and support complex analytics and quick dashboard delivery

Some things that could be improved in Oracle Analytics Cloud is definitely the way it works. In some cases, for example, if you want to create analytic functions such as the percentage of a measure over another, which is a straightforward question you might ask, it appears simple to do, but the result is not what you expect. I would make it more user-friendly in terms of creating new measures. The measure creation feature could be improved. In terms of functionality, there are not many functions that are completely missing. There is one aspect that if you compare it with Power BI from Microsoft, which works completely in memory and therefore puts everything in memory to allow many calculations on the fly on what is in memory, that is missing, but it is architecturally different and would not be possible to ask for something like that. Some time features and time series analysis functions could be improved. Calculating a year ago and previous period functions could definitely work with some improvement.

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

"A valuable feature of Amazon QuickSight is that it's a cloud-native service provided by AWS. As all platforms within my company run on AWS, that's the leverage of Amazon QuickSight. Amazon QuickSight is also easy to use, and I find the native connectors from AWS valuable as well."

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

"I like that with Amazon QuickSight, you don't need to install an app to use its services. With other BI tools, you need to install the app, so Amazon QuickSight is better for me in this area."

"The ease with which it integrates with different data sources is most valuable, especially when everything is on AWS, it is easy to connect to the data source and organize different dashboards."

"Compared to other reporting tools, it is very effective but does require an understanding of certain concepts in QuickSight. This understanding is crucial for creating dimensions, changing metrics, and visualizing reports."

"What I do like about QuickSight is that it gives a relative beginner the ability to really start seeing results quickly."

"We were selecting it for scalability, but we didn't get that far."

"The product is easy to learn."

More Amazon QuickSight pros

"This solution is not that well known by clients but is a great product to use."

"Technical support is very fast and accurate."

"It plays a crucial role in facilitating decision-making for various organizational stakeholders."

"We use Analytics because we have a model for it which can be easily customized, and implementation time can be reduced because of this."

"It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."

"The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data."

"Using this tool, we were able to forget about using Excel and keep using it as the only source of data."

"Oracle Analytics Cloud is more refined compared to the on-premises version of OBIEE."

More Oracle Analytics Cloud pros

Cons

"Right now, you can't use Amazon QuickSight on other cloud providers, so I'd like it to have availability on other cloud providers."

"There should be better connectors for different data sets."

"We weren't able to fully implement it due to security concerns."

"Lacked connectivity with other third-party tools and data sources."

"Right now, you can't use Amazon QuickSight on other cloud providers, so I'd like it to have availability on other cloud providers. This is an area for improvement in the product. What I'd like to see in Amazon QuickSight in the future is a distributed centralized system where I can manage all reports in one place, and for Amazon QuickSight to become reporting as a service."

"It should support integration with Python or R."

"The solution must be more user-friendly."

"There is room for improvement in terms of the number of visualizations and dashboards that are available."

More Amazon QuickSight cons

"The scalability has room for improvement."

"One of the major issues is that Oracle Analytics Cloud is not user-friendly, requiring skilled people with proper certifications to work with it successfully."

"One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now."

"This solution could be more adaptable in its application."

"The interfaces could be improved and some in-memory operations could be built into Oracle Analytics."

"The solution could be more flexible."

"The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions."

"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."

More Oracle Analytics Cloud cons

Pricing and Cost Advice

"I wouldn't say that it is an expensive product, but to stay competitive they would need to bring down the prices."

"The solution is not affordable."

"The standard edition is free to use for exploration purposes while the enterprise edition needs to be paid for. The pricing for this solution is very reasonable."

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

"It is simpler and cheaper than other solutions."

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

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

"It's affordable compared to other long-term contractor business tools available in the market."

More Amazon QuickSight pricing and cost advice

"It is an expensive platform."

"I don't know the exact cost, but its pricing was good. Its pricing was competitive. I would rate it a three out of five in terms of pricing."

"We pay on a monthly basis and it is $10 per user each month."

"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."

"I would rate it a five out of five in terms of the value received for the price charge."

"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."

"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."

"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."

More Oracle Analytics Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

11%

Computer Software Company

University

Financial Services Firm

10%

Government

10%

Manufacturing Company

Construction 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

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	7
Large Enterprise	11

Questions from the Community

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 primary use case for Amazon QuickSight?

We do partner with Amazon, and we use Amazon QuickSight for some of the projects. We have a global environment and some of the products in the US-based solutions where our teams are using it. I dow...

See all answers

Which Oracle product is better - OBIEE or Analytics Cloud?

Oracle OBIEE is designed to be relatively easy to set up and has a helpful customer support staff at the ready to assist customers. These are two attributes that make this system quite valuable. OB...

See all answers

What do you like most about Oracle Analytics Cloud?

The ability to quickly search for and access relevant data is crucial.

See all answers

What is your experience regarding pricing and costs for Oracle Analytics Cloud?

Pricing for Oracle Analytics Cloud works with how much you want it to cost. We have clients who have bought large amounts of Oracle and the price per product has gone down massively because they bo...

See all answers

Comparisons

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Compared 55% of the time

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Compared 5% of the time

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Compared 2% of the time

Metabase vs Amazon QuickSight

Compared 2% of the time

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Oracle OBIEE vs Oracle Analytics Cloud

Compared 7% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 7% of the time

SAP BusinessObjects Business Intelligence vs Oracle Analytics Cloud

Compared 6% of the time

Microsoft Power BI vs Oracle Analytics Cloud

Compared 6% of the time

Oracle Business Intelligence Cloud Service vs Oracle Analytics Cloud

Compared 3% of the time

More Oracle Analytics Cloud Competitors

Product Reports

Buyer's Guide

Amazon QuickSight

May 2026

Download Amazon QuickSight product report

Buyer's Guide

Oracle Analytics Cloud

May 2026

Download Oracle Analytics Cloud product report

Also Known As

QuickSight

Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV

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)

Oracle Analytics Cloud offers enterprise-grade dashboarding, visualization, and data integration with machine learning and NLP capabilities. Its cloud infrastructure supports data preparation, predictive analysis, and business analytics, enhancing decision-making for global users.

Oracle Analytics Cloud excels in providing a comprehensive platform for financial, procurement, and HR analytics. It integrates seamlessly with systems like ERP and Primavera, allowing users to develop dashboards for financial status, personal data management, and predictive sales analysis. Known for its ease of use and capacity to handle large data volumes, it supports enterprise-level transactions across financials and logistics, offering stakeholders valuable insights. However, improvements are needed in visualization variety, cost efficiency, and performance speed. Certain areas such as connectors, data modeling features, flexibility, and support resources require enhancement.

What are the most significant features of Oracle Analytics Cloud?

Enterprise-Grade Dashboarding: Offers robust visualization and reporting capabilities.
Data Visualization: Provides intuitive visual tools for data analysis.
Data Integration: Seamlessly connects with ERP, Primavera, and other systems.
Machine Learning: Incorporates ML for smarter analytics and predictions.
Natural Language Processing: Simplifies search and data queries with NLP.
Automatic Dashboards: Generates dashboards through the Explain function.

What are the key benefits and ROI of choosing Oracle Analytics Cloud?

Ease of Use: User-friendly interface simplifies data analysis for teams.
Scalability: Handles large data volumes and grows with business needs.
Fast Performance: Quickly processes and analyzes data to aid decision-making.
Secure Business Analytics: Offers secure data preparation and analysis.

In industries like finance, procurement, and HR analytics, Oracle Analytics Cloud supports decision-making by integrating with existing systems such as ERP and Primavera. Users create dashboards for assessing financial status and predicting sales, aiding business intelligence and enterprise transactions, especially in financials and logistics.

Oracle

Sample Customers

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

Sejong Hospital

Buyer's Guide

Amazon QuickSight vs. Oracle Analytics Cloud

April 2026

Free Report: Amazon QuickSight vs. Oracle Analytics Cloud

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