Oracle Analytics Cloud vs Qlik Sense comparison

Why PeerSpot?

Oracle and Qlik are both solutions in the Data Visualization category. Oracle is ranked #15 with an average rating of 8.0, while Qlik is ranked #6 with an average rating of 7.9. Oracle holds a 2.1% mindshare in DV, compared to Qlik’s 4.7% mindshare. Additionally, 77% of Oracle users are willing to recommend the solution, compared to 96% of Qlik users who would recommend it.

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

6,525 Views
2,675 Comparison Views

77% willing to recommend

Qlik Sense

Read 126 Qlik Sense reviews

13,106 Views
7,208 Comparison Views

96% willing to recommend

Oracle Analytics Cloud

Qlik Sense

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jan 1, 2025

Qlik Sense and Oracle Analytics Cloud compete in the business intelligence and data analysis category. Qlik Sense has an edge in user-friendly data visualization, while Oracle Analytics Cloud excels in integrating with Oracle products for comprehensive analytics.

Features: Qlik Sense is known for its associative model that enables dynamic data exploration. It allows users to manipulate data with drag-and-drop functionality and efficiently manages large datasets. Oracle Analytics Cloud shines with its deep integration into Oracle's ecosystem, offering advanced analytics and ease of use for Oracle environments. It provides robust predictive analytics and integration capabilities that cater to enterprise solutions.

Room for Improvement: Qlik Sense users suggest improvements in statistical functions, customization options for visualizations, and better integration tools. Users desire more features from QlikView. Oracle Analytics Cloud feedback includes the need for enhanced user interaction, cost-effectiveness, and further development in machine learning capabilities.

Ease of Deployment and Customer Service: Qlik Sense provides versatile deployment options, supporting on-premises and private cloud setups, backed by a strong community, though some users mention technical support responsiveness could improve. Oracle Analytics Cloud is noted for its excellent global support and hybrid deployment, with users praising its customer service and superior technical assistance.

Pricing and ROI: Qlik Sense is perceived as expensive, with complex licensing, but delivers substantial ROI through quick deployment and insights. Oracle Analytics Cloud offers competitive pricing, although costs can rise with increased usage, yet ROI is favorable due to its rich enterprise features aligning with business needs.

To learn more, read our detailed Oracle Analytics Cloud vs. Qlik Sense Report (Updated: September 2026).

Buyer's Guide

Oracle Analytics Cloud vs. Qlik Sense

September 2026

Download the complete report

Helped 914,109 peers since 2012

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

Oracle Analytics Cloud

Ranking in Data Visualization

15th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (19th)

Qlik Sense

Ranking in Data Visualization

6th

Average Rating

8.6

Reviews Sentiment

6.2

Number of Reviews

126

Ranking in other categories

Embedded BI (3rd), AI Data Analysis (15th)

Mindshare comparison

As of September 2026, in the Data Visualization category, the mindshare of Oracle Analytics Cloud is 2.1%, down from 3.4% compared to the previous year. The mindshare of Qlik Sense is 4.7%, down from 8.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Mindshare Distribution
Product	Mindshare (%)
Qlik Sense	4.7%
Oracle Analytics Cloud	2.1%
Other	93.2%

Data Visualization

Featured Reviews

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

Saranya Deepthi

Project Engineer at Wipro

Improved AI-driven dashboards have accelerated decisions but still need better visuals and faster refresh

Absolutely, nothing is entirely positive, and everything has both advantages and disadvantages. When I worked with Qlik Sense, circular charts were not available, which meant I had to look for alternative solutions that would be reliable or make the functionality work. There are some features that need to be added. Additionally, there is a limit to the number of fields that can be added in Qlik Sense, and I believe it would be beneficial if they increased the count for fields and columns. There might be requirements where an Excel file contains many columns that need to be displayed as visual representations to clients, and in those situations, it becomes very difficult and I have to use alternative approaches. When this problem arose, I used HTML code to write a solution and make it work. Qlik Sense should avoid these types of limitations in future updates. Another issue is page resolution. If a client wants to view the dashboard on a single page without scrolling, bar charts appear small and the values in KPIs, bar charts, scatter plots, and line graphs cannot be seen very clearly. Adding more extensions to make the job easier would also be beneficial. Improvements to reporting would be helpful as well, because working with large datasets makes reporting very difficult. Additionally, when data is refreshed, it cannot be completed in a short timeframe. Refreshing very large datasets can take one, two, or even three hours, so reducing the refresh time would be very useful for customers.

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

"I have found that the scalability quality of Oracle Analytics Cloud works extremely well."

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

"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."

"It's rather user-friendly."

"Mobility is the most valuable feature for us, as all employees can access it from anywhere, which is a big advantage for us."

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

"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."

"It's great for consolidation and creating one source of truth."

More Oracle Analytics Cloud pros

"Qlik Sense has provided insight into specific areas that enabled us to shorten the supply cycle, give a better overview of the company's production, increase profitability, and improve the effectiveness of respective vaccines."

"The time it takes to deliver a dashboard is real quick."

"Qlik Sense is an excellent tool for meeting all our various needs."

"The solution is scalable."

"On the fly questions can be answered with the "Qlik" of a button and drive forward discussions about policy, mission, and goals."

"With the changing business landscape, it is nice to access Qlik Sense through an external website. As an organization when we use QlikView Desktop, we need to connect to our internal network. We can access QlikView through the QlikView access point but the website has a little different look and feel than the desktop application."

"We can bring data from multiple sources and easily blend it in Qlik and create a data model (star schema)."

"Some of the valuable areas of this solution include producing individual reports and closing the gap."

More Qlik Sense pros

Cons

"When you implement the product on a small scale, it doesn't generate any ROI."

"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."

"When you want to scale up and improve the computing power, it becomes extremely costly."

"Its machine learning and visualization capabilities can be improved. There should be more visualization options."

"The price of the solution could be lower."

"The product could benefit from increased flexibility compared to other vendors."

"It's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth. In a complex environment or implementation, that is the capability that you need."

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

More Oracle Analytics Cloud cons

"Technical Support: 5/10 - really needs improvement, we can't be expected to spend large amounts of money in consulting fees every time we need something, especially when you're not providing training resources."

"I am starting to work with Qlik Sense SaaS these days. This environment has its own reporting service, however, one of the things that could be better for the people that are already using Nprinting, is to have a Nprinting in SaaS."

"We have faced some issues with NPrinting, so I feel there is some improvement needed such that it would allow the use of variables and calculative fields from Qlik."

"Ability for the administrator to approve Community Sheets in the QMC and then move them into base sheets."

"Sunset the product; moving on to another product."

"Branding is not the product's strongest point. More control over the presentation colors would be great. A basic printing function would also be good. Easy connection to external tools like R Server would be nice."

"There were stability issues. The former synchronized persistence failed and caused database corruption."

"I would like for it to be more of a plug and play with all of the tools and sources. It would make it much easier to use."

More Qlik Sense cons

Pricing and Cost Advice

"A highly cost-effective solution"

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

"The tool's pricing is not unreasonable or non-competitive."

"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."

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

"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."

"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."

More Oracle Analytics Cloud pricing and cost advice

"The cost is not bad considering the flexibility and support you receive from Qlik. I believe it is worth the cost."

"Qlik Sense pricing and licensing is like that of QlikView. It's on the high side for a small company, but it’s competitive among its peers. Use of licenses (referred to as tokens) is a bit confusing. There is a login access pass for infrequent or anonymous access."

"I believe pricing is similar to other products in the same category, if you have it on-premise."

"Start small with tokens. You can always buy more."

"The costs can initially become quite high. Make sure you have a clear understanding of who will truly use the product as opposed to someone that will simply receive the end report."

"It is the most expensive tool."

"Licensing: Review the named model and move towards a usage model (e.g., cores, memory, computers, API calls, etc.)."

"You need to pay 5,000 Norwegian kroner per user. Microsoft Power BI is slightly more expensive than Qlik Sense."

More Qlik Sense pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Visualization solutions are best for your needs.

See recommendations

914,109 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

Government

Construction Company

University

Financial Services Firm

18%

Construction Company

Manufacturing Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	34
Midsize Enterprise	40
Large Enterprise	89

Questions from the Community

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 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

What needs improvement with Oracle Analytics Cloud?

See all answers

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 Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos Enter...

See all answers

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 would recommend as follows: 1) If you have legacies of SAP, Oracle - look for SAP...

See all answers

What is your experience regarding pricing and costs for Qlik Sense?

It is not about performance. It is just about how expensive it is to implement.

See all answers

Comparisons

SAP Business Data Cloud vs Oracle Analytics Cloud

Compared 7% of the time

Zoho Analytics vs Oracle Analytics Cloud

Compared 6% of the time

SAP BusinessObjects Business Intelligence vs Oracle Analytics Cloud

Compared 6% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 6% of the time

Amazon QuickSight vs Oracle Analytics Cloud

Compared 3% of the time

More Oracle Analytics Cloud Competitors

Tableau Enterprise vs Qlik Sense

Compared 6% of the time

Apache Superset vs Qlik Sense

Compared 5% of the time

Microsoft Power BI vs Qlik Sense

Compared 4% of the time

OpenText Intelligence vs Qlik Sense

Compared 4% of the time

Domo vs Qlik Sense

Compared 2% of the time

More Qlik Sense Competitors

Product Reports

Buyer's Guide

Oracle Analytics Cloud

September 2026

Download Oracle Analytics Cloud product report

Buyer's Guide

Qlik Sense

September 2026

Download Qlik Sense product report

Also Known As

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

QlikSense, Qlik Analytics Platform

Overview

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

Qlik Sense offers drag-and-drop dashboard creation, multi-data source integration, and self-service analytics. Users benefit from associative data modeling and real-time insights. The platform enhances quick deployment across any device with its flexibility and ease of use.

Qlik Sense provides rapid dashboard creation and seamless multi-data source integration, supporting real-time analytics and high-speed ETL capabilities. Users enjoy advanced visualizations and natural language processing within an intuitive interface. The solution's in-memory engine ensures fast data processing while offering flexibility and quick deployment on all devices. Its open API facilitates extensive customization and integration with chatbots and third-party extensions.

What are the key features of Qlik Sense?

Rapid Dashboard Creation: Enables quick creation of insightful dashboards using a drag-and-drop interface.
Multi-Data Source Integration: Supports seamless integration across various data sources for comprehensive analysis.
Self-Service Analytics: Empowers users with intuitive tools for independent data exploration and insights generation.
Associative Data Modeling: Enhances understanding of complex datasets and relationships.
Advanced Visualizations: Offers sophisticated visual options to present data clearly and engagingly.
Real-Time Insights: Provides up-to-the-minute data analysis capabilities.
Open API Integration: Allows extensive customization and integration with third-party tools.

What benefits should users look for in reviews?

Fast Deployment: Enjoys rapid setup and integration across devices, facilitating immediate data access.
Enhanced Flexibility: Customization options allow tailored solutions that meet specific user needs.
Comprehensive Integration: Capable of integrating multiple data sources, improving analytical scope.
Improved Data Accessibility: Offers easy access and understanding of complex data.
Automation Efficiency: Streamlines reporting and analytics tasks, boosting productivity.

In industries such as finance and sales, Qlik Sense enables interactive data analyses and dashboard creation across departments. It supports business intelligence for financial reporting, sales analysis, and decision-making. By automating reporting and combining data from multiple sources, it facilitates users in generating insights and enhancing data accessibility for informed business decisions.

Qlik

Sample Customers

Sejong Hospital

Abbvie, Airbus, Barclays, BT Openreach, BMW, Daimler AG, HSBC, IKEA, Nationwide Building Society, Royal Mail Group, Sanofi, Siemens, Wendy'', Vodafone, Volvo

Buyer's Guide

Oracle Analytics Cloud vs. Qlik Sense

September 2026

Free Report: Oracle Analytics Cloud vs. Qlik Sense

Find out what your peers are saying about Oracle Analytics Cloud vs. Qlik Sense and other solutions. Updated: September 2026.

DOWNLOAD NOW

914,109 professionals have used our research since 2012.

See our Oracle Analytics Cloud vs. Qlik Sense report.

See our list of best Data Visualization vendors.

We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.