

Teradata and OpenText Data Protector compete in the data management and protection category. Teradata has the upper hand with its advanced analytics capabilities and data processing power, making it a preferred choice for enterprises needing robust data analysis.
Features: Teradata excels in data processing speed, scalability, and parallel processing capabilities, supporting extensive analytics and adaptable query management. OpenText Data Protector is noted for its effective integration with a wide range of operating systems and applications, and presents significant utility in data backup and recovery processes.
Room for Improvement: Teradata users suggest enhancements in cloud integration, handling unstructured data, and improving cost-effectiveness. OpenText Data Protector could benefit from a simplified user interface, improved scalability for larger data sets, and enhanced cloud backup features.
Ease of Deployment and Customer Service: Teradata offers various deployment options, including on-premises and cloud, praised for its flexibility and robust customer support, though it could improve response times. OpenText Data Protector offers on-premises deployment with strong integration but needs better documentation and cloud deployment focus.
Pricing and ROI: Teradata is often more expensive, reflecting its sophisticated data-handling features that yield substantial return on investment, enhancing data analytics. OpenText Data Protector is also considered costly but offers strong backup and recovery features. Improved pricing flexibility would make it more accessible for smaller enterprises.
| Product | Market Share (%) |
|---|---|
| Teradata | 0.5% |
| OpenText Data Protector | 0.9% |
| Other | 98.6% |

| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 22 |
| Large Enterprise | 61 |
| 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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