

Teradata and IBM Cognos compete in the enterprise data management category, focusing on data warehousing and business intelligence. Based on features, Teradata holds an advantage for large-scale data warehousing with its parallel processing and real-time data load capabilities, while IBM Cognos stands out in reporting and data exploration.
Features: Teradata offers impressive parallel processing capabilities, real-time data loads, and built-in architectures that reduce administrative efforts. It's ideal for handling massive datasets with high performance and reliability. IBM Cognos excels in enterprise reporting, complex report building, and customizable dashboards. It integrates AI for data analysis, allowing businesses to gain deeper insights and make data-driven decisions.
Room for Improvement: Teradata is considered costly with limited cloud integration and needs enhanced AI capabilities along with better support for unstructured data. Users desire more affordable on-premises options and improved community support. IBM Cognos requires user interface upgrades, better visualization options, and improved real-time data connectivity. Its self-service features could be enhanced to compete with modern BI solutions, and the licensing information could be made clearer to reduce complexity.
Ease of Deployment and Customer Service: Teradata offers flexible deployment across private, public, and hybrid clouds, primarily focusing on on-premises installations. It is known for excellent technical support and well-rounded documentation. IBM Cognos supports on-premises and hybrid cloud deployment. While its technical support is reliable, improvements in response times are needed. Both provide comprehensive online resources and community forums.
Pricing and ROI: Teradata is a premium solution with a high price point, justified by its powerful features and performance. It offers flexible pricing models, including cloud options. Users value the ROI for scalability and robust capabilities. IBM Cognos is priced on the higher side but remains competitive among BI solutions. Licensing flexibility and bundled features offer good enterprise value, with ROI resulting from improved decision-making and streamlined processes. Both solutions require careful negotiation and consideration of licensing models for cost optimization.
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.
At least fifteen to twenty percent of our time has been saved using Teradata, which has positively affected team productivity and business outcomes.
Independent research showed that Teradata VantageCloud users achieved an average ROI of 427% across three years with payback under a year, demonstrating the platform's ability to deliver a strong financial return.
We have realized a return on investment, with a reduction of staff from 27 to eight, and our current return on investment is approximately 14%.
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.
The customer support for Teradata has been great.
They are responsive and knowledgeable, and the documentation is very helpful.
Customer support is very good, rated eight out of ten under our essential agreement.
It can be scaled out to other teams, but requires building cubes and implementing policies.
The scalability of IBM Cognos is fine.
Whenever we need more resources, we can add that in Teradata, and when not needed, we can scale it down as well.
This flexibility allows organizations to scale according to their needs, balancing performance, cost, and compliance requirements.
This expansion can occur without incurring downtime or taking systems offline.
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.
Its massively parallel process architecture allows the platform to distribute workload efficiently, enabling organizations to run heavy analytic queries without compromising speed or stability.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
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.
I want to highlight two features for improvement: first, storing data in various formats without requiring a tabular structure, accommodating unstructured data; and second, adding AI ML features to better integrate Gen AI, LLM concepts, and user-friendly experiences such as text-to-SQL capabilities.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts.
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.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
Role-based access control (RBAC), strong audit and compliance features, high availability, fault tolerance, and encrypted data at rest and in-transit are key features.
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.
Teradata's security helps our organization meet compliance requirements such as GDPR and IFRS, and it is particularly essential for revenue contracting or revenue recognition.
Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments.
It facilitates data integration, where we integrate and analyze data from various sources, making it a powerful and high-quality reliable solution for the company.
| Product | Mindshare (%) |
|---|---|
| Teradata | 1.2% |
| IBM Cognos | 1.4% |
| Other | 97.4% |

| Company Size | Count |
|---|---|
| Small Business | 35 |
| Midsize Enterprise | 24 |
| Large Enterprise | 92 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
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.
Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.
Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.
What are the key features of Teradata?
What benefits and ROI do users look for?
In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.
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