

In the realm of data processing and customer service solutions, Teradata and ServiceNow Customer Service Management are strong contenders. Teradata, known for its data warehousing prowess, has an edge in performance and scalability, while ServiceNow excels in ease of use and integration capabilities.
Features: Teradata stands out with features like its “Parallel Everything” design, smart optimizer, and high scalability that handle large data volumes efficiently. Its robust data mining and analytics capabilities make it an excellent choice for extensive data warehousing needs. ServiceNow Customer Service Management, with its superior integration capabilities, offers streamlined workflow management, making it ideal for companies focusing on customer service efficiency.
Room for Improvement: Teradata needs to address the high licensing costs, limited integration with AI, and cloud environment support while improving its handling of unstructured data. ServiceNow could benefit from enhancements in customization options, better pricing structures, and improved integration with third-party systems to boost its offering.
Ease of Deployment and Customer Service: Teradata mainly offers on-premises and hybrid cloud deployment, providing flexibility with some cloud adaptability issues. It is supported by generally well-rated technical assistance, although response times can be slow. ServiceNow’s availability on both public and private cloud platforms simplifies deployment and enhances adaptability. Its customer service is commendable but comes at a high cost, which may deter smaller businesses.
Pricing and ROI: Teradata's pricing is considered high, necessitating a thorough cost-benefit analysis to ensure returns through its performance improvements. ServiceNow's pricing, though viewed as expensive, is often justified by the operational efficiencies it brings to larger enterprises, but may be prohibitive for smaller companies without significant resources.
Without such tools, the business would be affected by five to ten percent in annual revenue.
In our organization, downtime and criticality have been addressed in a very short time, and the revenue and outcomes from this have increased.
ServiceNow Customer Service Management saves time because of the CSM module and it saves money as well.
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%.
It is better because partners have a deep understanding of the code and configuration challenges.
Customer support provides a lot of help and responds immediately, offering very good service.
Whenever we raise high cases, we do get a response in minimum TAT.
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.
If challenges are resolved efficiently with tools like ServiceNow Customer Service Management, it significantly impacts business operations.
The solution is scalable and offers high scalability as new features are added regularly.
ServiceNow Customer Service Management's scalability is such that it is scalable to a large extent as it can be integrated with other applications as well.
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.
Overall, it is very stable aside from these issues.
ServiceNow Customer Service Management is highly stable, which is critical because it operates as a live system 24/7.
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.
It is important to follow practical rules and best practices to avoid misconfigurations caused by different developers doing things their own way.
Quick case resolutions through AI is one of the most valuable use cases.
Managing this platform requires sophisticated handling.
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.
ServiceNow Customer Service Management is expensive, with costs around half a million US dollars per year.
The pricing is around a seven, making it rather expensive.
ServiceNow Customer Service Management is expensive, although there is value for money considering the time and administrative efficiencies it brings.
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.
ServiceNow Customer Service Management has impacted our organization positively; we have formed a very good process with this tool that has helped increase the productivity of the team.
The most valuable features are incident management and change management.
ServiceNow Customer Service Management offers valuable features such as workflow management, an approval cycle, and integration with a payment gateway, which allows for payments to be made using the system.
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 (%) |
|---|---|
| ServiceNow Customer Service Management | 2.3% |
| Teradata | 1.8% |
| Other | 95.9% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 1 |
| Large Enterprise | 9 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
Customer Service Management groups key applications and capabilities into scalable packages that can grow with you as your needs change.
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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