

Teradata and Qualtrics XM Platform compete in data analytics and customer experience management. Teradata has an edge in handling large-scale data tasks with robust data warehousing capabilities, while Qualtrics XM is more suited for customer feedback and experience analytics due to its advanced survey creation and AI-driven insights.
Features: Teradata excels with its parallel processing, scalability, and real-time data integration, crucial for large-scale data analytics. Its architecture ensures fast query performance and high reliability. Qualtrics XM Platform stands out with flexible branching in survey creation, real-time feedback integration, and AI-driven insights, making it effective for capturing customer and employee experiences.
Room for Improvement: Teradata faces issues with high costs and challenges in cloud scalability and unstructured data handling. Users call for better integration with AI and modern big data platforms and improved training and support. Qualtrics needs improvement in pricing structure, dashboard flexibility, and integration of advanced AI features, with some users pointing to high costs and limited customization options.
Ease of Deployment and Customer Service: Teradata supports on-premises, private, and hybrid cloud deployments, though cloud scalability presents challenges. It benefits from comprehensive customer service, notwithstanding some delays. Qualtrics, primarily cloud-based, offers competitive technical support and smooth implementation, leveraging its flexibility and adaptability in dynamic environments.
Pricing and ROI: Both Teradata and Qualtrics are recognized for their high costs, yet they are seen as offering substantial ROI. Teradata is particularly praised for ROI in large enterprises due to its analytics capabilities, with flexible pricing models improving competitiveness. Qualtrics, considered expensive, is valued for its customization and analytics features, although its pricing remains an area of concern.
It is the Ferrari of XM platforms.
It is already compatible with every application that we are using and is something standardized in Roche.
The difference in getting a 4.5 stars to a 4 stars to a 3.5 stars can be just one point.
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%.
I also have a technical success manager that I can call, someone who is there to help me with whatever I need.
I would rate the customer support a nine on a scale of one to ten.
Based on available resources, the documentation, knowledge base, and training materials have been sufficient for the tasks I have worked on.
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 handle multiple surveys, large numbers of responses, and reporting requirements without any noticeable performance issues.
Qualtrics XM Platform is one of the most scalable solutions among survey platforms based on my experience.
In terms of scalability, Qualtrics XM Platform scales well for large organizations because it can support multiple teams, applications, feedback programs, survey types, and analytics dashboards from one platform.
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.
Survey creation, response collection, reporting, and dashboard access have been consistently available and performed well.
Qualtrics XM Platform is stable and reliable for server distribution, response collection, and analytics reporting.
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.
They have created a feature that allows you to analyze data that does not come from surveys, such as support calls and chatbot interactions, which is valuable.
Advanced configuration can be complex, reporting customization has a learning curve, and pricing and licensing need careful governance.
Qualtrics XM Platform has become faster at implementing community-requested features.
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.
I do not think Qualtrics XM Platform is really expensive; it is a world-class platform that adapts to different price ranges of companies.
When it comes to the price, I believe it is an expensive solution compared to its competitors.
My experience with pricing, setup cost, and licensing was that it was not cheap, but it wasn't crazy expensive.
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.
Integrations with Qualtrics XM Platform are highly customizable, providing out-of-box solutions such as Salesforce and methods to get data from multiple systems through various integrations, including file or API calls, allowing for effective analysis once survey responses are collected.
Qualtrics XM Platform has improved the workflow by providing a centralized and standardized way to collect feedback and analytics data across multiple applications inside Roche.
Qualtrics XM Platform has improved our ability to collect and analyze feedback efficiently, leading to more informed decision-making and better program management.
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 (%) |
|---|---|
| Qualtrics XM Platform | 3.6% |
| Teradata | 1.9% |
| Other | 94.5% |

| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 2 |
| Large Enterprise | 9 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 53 |
Qualtrics XM Platform offers AI-driven analytics, seamless integrations, and an intuitive interface for efficient data collection and visualization. Known for its user-friendly design, it supports real-time feedback and sentiment analysis, catering to companies seeking streamlined workflows.
Qualtrics XM Platform enables organizations to create surveys with ease through its drag-and-drop interface. With prebuilt integrations and advanced analytics tools like Text iQ, users efficiently gather insights from data. The platform's comprehensive dashboards facilitate dynamic engagements and amplify decision-making. While the platform excels in many areas, it needs improvements in Salesforce integration, graphical analytics tools, and dashboard speeds to enhance user experience. High costs and data migration limitations are noted as concerns. Qualtrics is utilized across industries for collecting customer experience data, automating surveys, and boosting employee engagement, though some industry-specific functional enhancements are recommended.
What key features does the Qualtrics XM Platform offer?Organizations implement Qualtrics across industries to gather customer insights and automate feedback processes. Retailers use kiosks for in-store feedback, while HR departments leverage the platform for employee onboarding. Banking sectors adopt it for transactional feedback, whereas technology firms assess content effectiveness through in-depth surveys. Enhanced real-time dashboards help access and utilize collected data efficiently.
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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