

Teradata and Qualtrics XM Platform compete in the data management and customer experience categories, respectively. Teradata has the upper hand in handling large data volumes and high-speed query execution, while Qualtrics excels in user-friendly survey design and real-time feedback.
Features:Teradata's strengths include robust parallel processing, scalability in handling large data volumes, and efficient integration for complex analytics. It also delivers high-speed query execution, making it suitable for environments requiring sophisticated analytics. Qualtrics XM Platform offers a user-friendly interface with intuitive survey design, real-time feedback capabilities, and advanced AI-driven insights, making it effective for customer experience management and data collection.
Room for Improvement:Teradata needs to address high costs, limitations in managing unstructured data, and challenges in cloud integration. Qualtrics requires better visual analytics, increased survey flexibility, and more cost-effective pricing structures. Both products face pricing challenges, with Teradata criticized for traditional pricing and Qualtrics for its expensive nature.
Ease of Deployment and Customer Service:Teradata offers flexible deployment across on-premises, public, and hybrid clouds, with strong technical support, although some users wish for faster response times. Qualtrics focuses on straightforward cloud-based deployment, praised for its intuitive interface and customer support, with users suggesting more service flexibility and better integration of visual tools.
Pricing and ROI:Teradata is known for its high costs but is recognized for delivering strong ROI especially in large-scale analytics environments, with suggestions for more pricing flexibility. Qualtrics, viewed as expensive, provides valuable survey tools and customizable plans offering ROI, appealing to organizations prioritizing customer experience and insights.
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%.
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.
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.
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.
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.
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.
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 | Market Share (%) |
|---|---|
| Qualtrics XM Platform | 3.0% |
| Teradata | 1.8% |
| Other | 95.2% |


| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
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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