

IBM Cognos and ThoughtSpot compete in the realm of business intelligence and data analytics. ThoughtSpot appears to have the upper hand due to its user-friendly, search-driven capabilities that simplify data exploration without requiring extensive technical skills.
Features: IBM Cognos offers comprehensive analytics and reporting tools with strong scheduling, integration capabilities, diverse report formats, and robust security. It provides powerful ad-hoc query capabilities and reporting flexibility. ThoughtSpot is known for its intuitive search-driven analytics that allow users to query data using natural language, simplifying data exploration and offering quick insights. It is favored for its ease of use and setup, ideal for self-service analytics by business users.
Room for Improvement: IBM Cognos could improve by enhancing its ease of use, updating its visualizations, and improving integration with modern data sources. ThoughtSpot would benefit from expanded visualization options, improved support for diverse data sources, and increased customization flexibility. Furthermore, ThoughtSpot should refine its data connectivity to reduce redundancy and improve stability.
Ease of Deployment and Customer Service: IBM Cognos is available for on-premises, hybrid, and cloud deployments but often requires assistance due to its complexity, with some users finding its customer support expensive and slow. ThoughtSpot offers flexible deployment across private and public clouds, with users finding its customer support helpful and personalized.
Pricing and ROI: IBM Cognos has a complex and costly pricing model, especially for larger user bases, though it can offer substantial ROI through detailed insights. ThoughtSpot's pricing is more flexible, based on data usage rather than user count, which can benefit companies with varying data needs, particularly medium-sized enterprises focusing on specific data-driven decisions.
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.
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.
Based on our implementation in one project, we are trying to raise more funding to expand its use.
This tool has really improved our decision-making by 70 to 80% because we are able to rely on insights from different data sources from different departments.
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.
I stopped opening tickets due to insufficient and untimely responses.
ThoughtSpot provides a dedicated customer success person and the ability to submit tickets online, with a response time of no more than a day.
The customer support for ThoughtSpot is very proactive and supportive, available 24/7.
It can be scaled out to other teams, but requires building cubes and implementing policies.
The scalability of IBM Cognos is fine.
Tableau, Power BI, or Looker have separate tools for preparation, customization, and storytelling.
The platform does not have technical problems with scaling data or connections.
As our data has grown, I have validated huge datasets and complex models without significant issues.
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.
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.
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.
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.
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.
HubSpot is expensive.
ThoughtSpot's pricing is reasonable and in line with other BI tools.
The pricing, setup cost, and licensing for ThoughtSpot are competitive.
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.
Its compatibility with most databases, including the latest from FlexMovely and Redshift, allows users to create joins and worksheets easily.
This alerting feature is very beneficial for our company at the moment, and we use it extensively.
When I upload a data dump, AI analytics suggest possible data visualizations and insights, which I can pin to dashboards or live boards for modification.
| Product | Mindshare (%) |
|---|---|
| IBM Cognos | 1.3% |
| ThoughtSpot | 1.6% |
| Other | 97.1% |

| Company Size | Count |
|---|---|
| Small Business | 35 |
| Midsize Enterprise | 24 |
| Large Enterprise | 92 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 14 |
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.
ThoughtSpot offers analytics through a user-friendly interface, empowering non-technical users to explore data swiftly with AI-driven insights and search-based analytics, making data access and modeling efficient.
ThoughtSpot is designed for intuitive data exploration, enabling users to generate custom analytics and reports without deep technical expertise. Its strength lies in natural language processing, scalability, and seamless data connectivity. Customizable dashboards and interactive visualizations help organizations in effective decision-making. The emphasis on self-service analytics supports real-time data queries and enhanced data modeling. While popular for its quick insights, users note a steep learning curve and complex UI, seeking more customization options, better connectivity, and visualization features. Price and usability challenges, along with desires for improved dashboard stability and integration, are noted for large enterprise deployments.
What are ThoughtSpot's key features?Industries leverage ThoughtSpot for self-service analytics, driving marketing, sales, and business intelligence operations. Companies benefit from its real-time data connectivity with modern data cloud platforms, enhancing internal operations through scalable data analysis. Non-technical users are empowered to perform ad-hoc analysis, data exploration, and visualize KPIs, optimizing strategic workflows across sectors.
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