

Teradata and Oracle Fusion Service compete in the enterprise software and cloud services market. Teradata has the upper hand in data processing capabilities, while Oracle Fusion Service leads in customer interaction efficiencies.
Features: Teradata handles large data volumes with parallel processing, fast query execution, and advanced analytics. It offers massive scalability and high-performance analytics for data-intensive tasks. Oracle Fusion Service provides omni-channel customer engagement tools, smart assistants, and knowledge bases for efficient service management.
Room for Improvement: Teradata faces high costs and complexity in managing unstructured data. Its user interface could be more user-friendly, and the pricing structure more competitive. Oracle Fusion Service requires better customization for B2B markets and improved documentation. It also needs simpler integration and clearer user guidance.
Ease of Deployment and Customer Service: Oracle Fusion Service supports public, private, and hybrid cloud deployments, offering flexibility for infrastructure needs. It receives positive feedback for customer support, though technical improvements are needed. Teradata excels in on-premises consistency and advances in cloud integration, but support for specialized verticals could be enhanced. Customer service is appreciated for both, with room for improvement.
Pricing and ROI: Oracle Fusion Service's pricing scales with usage, offering flexibility but potentially high costs for extensive use. It is considered expensive, yet it provides specific ROI through tailored services. Teradata's costs are high but offer value for large-scale operations, with ROI dependent on usage. Pricing may be prohibitive for smaller enterprises, while Oracle's flexible licensing offers different financial implications.
Within CRM, I have worked on B2C service and sales extensively.
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%.
Sometimes the technical support is knowledgeable and helpful.
Customer service varies as sometimes I receive a good response, and other times I need to escalate issues and involve engineers from Oracle in an OWC session.
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.
Initially, we had ten ERPs, and I have added more since.
Regarding scalability, the solution provides useful configurations that clients can utilize effectively.
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.
If work continues for a long time without publishing, it tends to get corrupted, requiring deletion and rework from the ground up.
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.
When dealing with bulk data uploads via a BDI process, some records occasionally fail, requiring me to debug and reprocess them.
Simpler integration capabilities.
It is currently restricted to Groovy scripting.
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.
Regarding licensing cost, according to each country's conditions, for Egypt, it's so expensive.
I think it's expensive, yet it does not pose a threat, making it costly for my enterprise.
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.
The company has invested in ERP Cloud, and the seeded APIs and VIP features allow for customization using Groovy script.
Based on utilizing Groovy scripts and JavaScript, we can integrate with other external systems.
For HCM, it makes the life of users easier for self-service, payroll run, and applying tax according to the country, where different tax laws according to the country are very easy in Fusion.
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 (%) |
|---|---|
| Teradata | 2.5% |
| Oracle Fusion Service | 2.7% |
| Other | 94.8% |


| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 6 |
| Large Enterprise | 22 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
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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