

Teradata and Oracle Data Guard compete in data management and protection solutions. Teradata seems to have the upper hand in handling large data volumes with its parallel processing capabilities, while Oracle Data Guard is favored for its stability and disaster recovery solutions in high-availability environments.
Features: Teradata's parallel processing, scalability, and optimizer assist in handling large data volumes efficiently. Its feature set, including workload management and adaptability, are highly valued. Oracle Data Guard ensures data availability, providing robust disaster recovery features, recognized for data consistency and protection in enterprise environments.
Room for Improvement: Teradata requires enhancements in managing high transaction processes, cloud integration, and support for unstructured data. Oracle Data Guard needs better failover functionality, pricing adjustments, and improvements in administration ease and user-friendliness, with a specific challenge being its licensing costs.
Ease of Deployment and Customer Service: Teradata's deployment includes on-premises and effective public cloud options. Its customer support is praised for responsiveness and expertise. Oracle Data Guard offers complex deployment options due to extensive features, with customer service noted for excellence but sometimes with high costs.
Pricing and ROI: Teradata is perceived as high-cost but provides long-term value and ROI, partly offset by flexible pricing models. Oracle Data Guard is also expensive, particularly in licensing, yet provides essential data security, justifying its cost for sectors needing high data protection.
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%.
Oracle has the best support and a great knowledge center with a lot of accessible material for users and administrators.
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.
For the stability of Oracle Data Guard, I would rate it as the best.
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 could benefit from more automated features that notify via email if the disaster recovery or primary side fails.
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.
The simple Data Guard is free.
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.
Active Data Guard is the most valuable feature. We use the secondary side for reporting purposes, which reduces the load on the primary side.
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 | 0.6% |
| Oracle Data Guard | 0.9% |
| Other | 98.5% |


| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 22 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
Oracle Data Guard ensures high availability, data protection, and disaster recovery for enterprise data. Data Guard provides a comprehensive set of services that create, maintain, manage, and monitor one or more standby databases to enable production Oracle databases to survive disasters and data corruptions. Data Guard can be used with traditional backup, restoration, and cluster techniques to provide a high level of data protection and data availability.
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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