Teradata and ServiceNow Customer Service Management are both leaders in their respective categories, focusing on data analytics and customer service solutions. Teradata's performance in data processing and scalability gives it an advantage in handling complex data needs, whereas ServiceNow excels in workflow integration and service management, favoring businesses keen on streamlined customer interactions.
Features: Teradata is known for its massively parallel architecture, high adaptability, and powerful query processing capabilities. It efficiently handles complex data operations and scalability. ServiceNow excels in workflow management, ease of use, and integration capabilities, providing organizations the tools to streamline customer interactions effortlessly.
Room for Improvement: Teradata could improve by addressing high pricing, enhancing cloud compatibility, and better handling of unstructured data. More robust documentation and user interface enhancements are needed. ServiceNow faces challenges with high costs and limited customization options. Users also note integration complexity and occasional performance lags as areas for improvement.
Ease of Deployment and Customer Service: Teradata offers flexible deployment options, including on-premises and cloud solutions, yet faces scalability and customization challenges, especially in cloud contexts. Its customer service is generally reliable but occasionally experiences delays. ServiceNow provides effective public cloud deployment support and is renowned for efficient customer service, although its setup may require advanced management skills.
Pricing and ROI: Teradata is a costly choice justified by its superior performance and capabilities, offering a strong ROI for large enterprises. ServiceNow, also priced on the higher end, enhances operational efficiency and customer service capabilities, making it attractive for large organizations. Both solutions provide significant performance gains but may be less accessible for smaller businesses due to their high costs.
Without such tools, the business would be affected by five to ten percent in annual revenue.
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.
The technical support is good, but there are very few people who understand the technicalities and background configurations.
The customer support for Teradata has been great.
Customer support is very good, rated eight out of ten under our essential agreement.
The technical support from Teradata is quite advanced.
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.
Scalability can lead to performance issues.
This expansion can occur without incurring downtime or taking systems offline.
Teradata's scalability is great; it's been awesome.
Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.
ServiceNow Customer Service Management is highly stable, which is critical because it operates as a live system 24/7.
Overall, it is very stable aside from these issues.
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.
Managing this platform requires sophisticated handling.
If our organization wants to customize features that are not initially available in the system, these customizations might cause issues during upgrades.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
If Teradata could provide a list of certified experts, that would be fantastic.
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.
We spent roughly $295,000 on setup costs.
The best aspect of ServiceNow Customer Service Management is its out-of-the-box features that support all customer service processes.
Change requests are vital if there is a business requirement change; they are used for tracking and reporting purposes, showcasing how change requests have been used to keep businesses running smoothly.
It integrates all different queues into one dashboard and consolidates various departments, ensuring visibility across the organization is transparent.
It has resulted in better performance improvement within our team as we now cover nine business units instead of 18, thanks to the data performance, which has increased data visibility and helped the enterprise achieve a higher rate of internal return on financials.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Product | Market Share (%) |
---|---|
ServiceNow Customer Service Management | 2.9% |
Teradata | 1.6% |
Other | 95.5% |
Company Size | Count |
---|---|
Small Business | 6 |
Midsize Enterprise | 1 |
Large Enterprise | 6 |
Company Size | Count |
---|---|
Small Business | 26 |
Midsize Enterprise | 12 |
Large Enterprise | 49 |
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?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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