

IBM Cognos and Amazon QuickSight are competing in the business intelligence and analytics software category. IBM Cognos seems to have the upper hand with its robust analytics and enterprise-level features, although Amazon QuickSight is noted for its ease of use and integration within the AWS ecosystem.
Features: IBM Cognos is known for its reporting and analytic capabilities, including tools like Report Studio, Query Studio, and Framework Manager, offering flexibility, data integration, and security. Amazon QuickSight integrates seamlessly with AWS services, focusing on dynamic data visualization and quick insights, facilitated by its Spice in-memory engine.
Room for Improvement: IBM Cognos could benefit from enhanced data visualization and simpler interfaces for non-technical users. Its reliance on IT resources can be a barrier, and improved integration with modern data sources and map features is needed. Amazon QuickSight's feature set is limited compared to solutions like Tableau. It would benefit from enhanced visualization options, seamless data integration, and better support for complex data operations.
Ease of Deployment and Customer Service: IBM Cognos offers extensive deployment options, favoring on-premises and private cloud implementations. Its technical support is responsive but costly, and customer service experiences vary. Amazon QuickSight, as a cloud-native service, excels in public cloud deployments, simplifying setup and maintenance. Its customer support is adequate but lacks the personalized touch of IBM.
Pricing and ROI: IBM Cognos appears expensive with complex pricing models, but these can be mitigated through negotiation, offering significant ROI for large enterprises. Amazon QuickSight's subscription model aligns with AWS services, providing cost efficiency for AWS customers. It offers an affordable entry point, although full capabilities may require additional AWS service fees. Both solutions offer substantial ROI, contingent on effective implementation and alignment with company objectives.
I have seen a return on investment through improved decision making, as automated distribution and uptime, along with scheduled report delivery and bursting, have eliminated various manual emailing and delays, thereby saving time and cost.
Management can now drill down and view executive summaries for new products and fraud analytics quickly, resulting in less red tape during the decision-making process.
This demonstrates that it requires a lesser number of people. You do not need a huge team for maintaining or working with IBM Cognos.
I would say out of all the support experience I've had, only 5% took quite a long time to respond to the support message.
I would say at the moment, so far, good in the sense of Amazon's technical support.
Our systems team, operating on a lot of Red Hat Enterprise Linux and maintaining long-term relations with IBM, benefits from good support coverage.
The customer support has been proactive, solution-oriented, and helpful whenever I have needed to reach out.
I rate technical support from IBM as eight out of ten, indicating a high quality of service.
It can be scaled out to other teams, but requires building cubes and implementing policies.
The scalability of IBM Cognos is fine.
I rate the stability of this solution as nine out of ten, indicating it is highly stable.
In my experience, IBM Cognos is stable, as I have not experienced any downtime or lagging issues.
Understanding how AWS charges for Amazon QuickSight usage is critical for all users wanting to visualize their data effectively.
For example, making automation for filling missing data or reformatting incorrect data formats, and making date corrections.
On the analytics side, we are migrating into Amazon QuickSight. One of the products is already migrating, and the rest is in the pipeline.
IBM Cognos can be improved by addressing its limited real-time data connectivity, as well as enhancing the endpoint experience and mobility, which currently is not satisfactory due to limited data blending.
IBM Cognos could improve by introducing different role types, such as viewer roles, user roles, and admin roles, along with assigning minor modules to specific individuals.
IBM Cognos can improve its error messages, as whenever something is wrong, it does not give us the proper error message, and we end up rebooting the entire software.
It is not expensive, but it is also not cheap.
Our central team negotiated a different price because multiple teams within our organization use IBM Cognos, bringing the price down to around $10 to $11 per user per month.
I rate pricing as a four, meaning it is more expensive compared to other solutions.
My experience with pricing, setup cost, and licensing is positive, as the price is relatively competitive and affordable.
The natural language query is very important, and natural language processing is crucial for disseminating dashboards across multiple formats and mechanisms.
You can measure the progress of sales, and you can measure the weakness or lowest activity of sales in some areas and determine how to improve it.
Interactive dashboards do help with data analysis.
The AI features in IBM Cognos helped me gain deeper insights into our business processes, enabling me to make data-driven decisions easily and understand which points need our attention and which areas of our business are performing well.
Some of the best features that IBM Cognos offers are enterprise reporting, which enables us to create, customize, and run reports on sales trends, consumer sentiment, and many more; dashboard creation; and data exploration and analysis.
Our dedicated cybersecurity team ensures that sensitive data does not become public, making it crucial that data stored in IBM Cognos remains secure throughout the entire data cycle, which is where these enterprise-grade security measures prove invaluable.
| Product | Mindshare (%) |
|---|---|
| Amazon QuickSight | 3.3% |
| IBM Cognos | 1.4% |
| Other | 95.3% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 10 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 35 |
| Midsize Enterprise | 24 |
| Large Enterprise | 92 |
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?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.
IBM Cognos provides a powerful toolset with AI-driven data exploration and robust reporting for efficient data-driven decisions. It supports seamless data integration and user-friendly dashboards for flexible report creation.
IBM Cognos enables organizations to leverage AI-enhanced analytics, integrating data from multiple sources to create comprehensive business insights. It supports complex report creation, dashboards, and predictive capabilities, enhancing decision-making through customizable reports and connectivity with multiple databases. The platform is recognized for strong security, scalability, and integration capabilities, but may require more intuitive visualization and documentation improvements.
What are the key features of IBM Cognos?In specific industries, IBM Cognos is used for financial reporting, operational dashboards, sales performance monitoring, and fraud analytics. Companies leverage its predictive capabilities for proactive planning and risk assessment, benefiting from its integration with IBM Watson for enhanced AI-driven analysis.
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