Teradata and IBM Db2 Warehouse on Cloud compete in the data warehousing market. IBM Db2 Warehouse on Cloud is considered superior due to its robust functionalities, even though Teradata offers more appealing pricing and support.
Features: Teradata supports advanced analytics, scalability, and high-volume data operations, which make it ideal for large-scale data handling. It features in-database data mining and employs a parallel processing architecture. IBM Db2 Warehouse on Cloud is praised for its strong integration capabilities, flexibility, and cloud-based scalability. It incorporates data compression and efficient query processing that allow fast data retrieval and analysis.
Room for Improvement: Teradata can enhance its cloud integration and user-friendly interface to better accommodate users unfamiliar with complex systems. Its data recovery processes could be simplified to reduce downtime. IBM Db2 Warehouse on Cloud could improve its initial cost structure and deployment time for quicker initial setup. It also needs to enhance customer training resources to ensure a smoother learning curve for new users.
Ease of Deployment and Customer Service: Teradata provides a comprehensive deployment model with strong customer support, but often relies on direct support for implementation. IBM Db2 Warehouse on Cloud offers a seamless deployment experience with extensive self-service options, reducing time and complexity in setting up.
Pricing and ROI: Teradata delivers competitive pricing with favorable long-term ROI due to effective analytics capabilities, making it cost-effective. IBM Db2 Warehouse on Cloud may have higher upfront costs, but its features justify the investment with significant performance benefits and scalability. Users find the cost justified by its comprehensive functionality.
| Product | Market Share (%) |
|---|---|
| Teradata | 8.5% |
| IBM Db2 Warehouse on Cloud | 0.8% |
| Other | 90.7% |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Large Enterprise | 3 |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 12 |
| Large Enterprise | 49 |
IBM dashDB family offers private and public cloud database solutions for transactional and analytic workloads, with IBM fully managed or client managed options with a Common SQL engine across all deployment options.
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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