

Teradata and Genesys Cloud CX operate in the data management and customer interaction fields, respectively. Teradata leads in large-scale data handling due to its strong analytics capabilities, while Genesys Cloud CX excels in cloud-based customer service solutions with robust integration features.
Features: Teradata offers a powerful parallel processing architecture ideal for large-scale analytics, advanced security, and high performance in data warehousing. Genesys Cloud CX supports seamless cloud integration, offers a comprehensive application suite for contact centers, and features omni-channel communication support.
Room for Improvement: Teradata could enhance its management of unstructured data and cloud scalability while also addressing pricing competitiveness. Genesys Cloud CX needs to improve process automation, simplify configuration, and enhance autonomous troubleshooting tools.
Ease of Deployment and Customer Service: Teradata supports flexible deployment across on-premises, hybrid, and public cloud environments with generally well-rated customer support, although response times can vary. Genesys Cloud CX provides straightforward cloud deployment and efficient customer service, known for smooth cloud integration experiences.
Pricing and ROI: Teradata's high cost is justified by its performance and reliability, offering excellent ROI for large organizations. Genesys Cloud CX, while also costly, provides flexible licensing and requires potential partner assistance for implementation, serving various business sizes effectively.
After implementing Genesys Cloud CX, we achieved a 97% call response rate compared to 80% with our previous self-service software.
In terms of cost-effectiveness, I find Genesys Cloud CX provides overall ROI benefits; however, after the first year, customers usually expect lower pricing at the time of renewal.
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 impact of the real-time dashboards on the decision-making processes is excellent.
Many agents report not receiving alerts or calls consistently—missing two or three calls out of thirty on a given day.
Often, we encountered difficulties in receiving prompt responses, especially when highlighting desired functionalities between Salesforce and Genesys Cloud CX for future releases.
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.
We have not faced any issues such as system slowness or degraded call quality despite handling over 200,000 calls.
We achieved notable success implementing Genesys Cloud CX during COVID when home offices were necessary, leading to improved KPIs in customer satisfaction.
The solution is considered scalable and receives a rating of seven on a scale of one to ten.
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.
Genesys is brilliant concerning stability.
The stability and reliability of Genesys Cloud CX are good, as it can handle multiple agents, numbering in the hundreds or even thousands, located in different parts of the world.
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 required extensive training, especially for predictive elements, because it is a business-class tool not suited for everyone and often demands several months of training.
If I have over 100 organizations in Genesys Cloud CX, my support team struggles with access management, and there's no single pane of glass to manage the entire set of tenants.
Genesys Cloud CX is hosted on the AWS environment, and if there's an issue on AWS or any outage, there is no other alternative provided by Genesys.
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.
Overall it's affordable, as indicated by a pricing rating of four out of ten.
Genesys' licensing model is flexible, though not the cheapest.
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.
It has helped to optimize customer interactions as a contact center solution by improving Average Handle Time, and as AHT improves, customer satisfaction and NPS turn green as a whole for the customer, leading to more business generation for us.
If a prospect calling in has a particular need, predictive AI routes the call to the most suited agent.
The real-time analytics feature has impacted decision-making by providing visibility to service SLAs and understanding customer journeys.
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 (%) |
|---|---|
| Genesys Cloud CX | 3.3% |
| Teradata | 2.0% |
| Other | 94.7% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 1 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
Genesys Cloud CX is a comprehensive customer experience platform that enables businesses to deliver exceptional service across all channels.
With its advanced features like omnichannel routing, AI-powered chatbots, and real-time analytics, it empowers organizations to provide personalized and efficient customer interactions.
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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