

Teradata and IBM InfoSphere Information Server are leading competitors in the data management and integration space. Teradata has the upper hand in terms of pricing and customer support, while IBM InfoSphere Information Server stands out with its superior functionality, which appeals to businesses ready to invest in high-end features.
Features: Teradata offers advanced analytics, connectivity with multiple data sources, and high-speed processing of large datasets. IBM InfoSphere Information Server provides deep integration capabilities, structured and unstructured data handling, and robust data quality tools.
Room for Improvement: Teradata could enhance its user interface for better accessibility and improve functionality in non-traditional use cases. IBM InfoSphere Information Server would benefit from simplifying its deployment process, offering more competitive pricing, and reducing complexity in data handling tasks.
Ease of Deployment and Customer Service: Teradata is known for straightforward deployment, supported by responsive and helpful customer service. IBM InfoSphere Information Server, although offering extensive features, presents a more complex deployment process but compensates with dedicated customer support.
Pricing and ROI: Teradata's pricing is generally more accessible, with efficient performance delivering a robust ROI. IBM InfoSphere Information Server may require a higher upfront investment but promises strong long-term value through its advanced capabilities, potentially leading to a solid ROI over time.
| Product | Market Share (%) |
|---|---|
| Teradata | 0.9% |
| IBM InfoSphere Information Server | 1.0% |
| Other | 98.1% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 1 |
| Large Enterprise | 4 |
| 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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