

Teradata and Infobright DB are rival products in the data management and analysis category. Teradata often has an edge due to its comprehensive features and perceived investment value, whereas Infobright DB performs well in specific analytics use cases.
Features: Teradata offers scalability, extensive analytics supporting numerous data types and complex queries. It is beneficial for handling large diverse datasets with features like parallel MPP architecture and robust workload management. Infobright DB is known for simplicity and optimized performance for read-heavy workloads, making it ideal for quick query times with its columnar design and efficient data compression.
Room for Improvement: Teradata could improve in cost management, the complexity of operations, and licensing flexibility. Infobright DB might benefit from enhanced support for diverse data sources, stronger big data integration, and improved real-time analytics capabilities.
Ease of Deployment and Customer Service: Teradata provides reliable deployment options with extensive support and customizable services, appealing to businesses needing flexible infrastructure. Infobright DB offers a straightforward installation process with moderate service support, suited for quick, less complex setups.
Pricing and ROI: Teradata involves higher initial setup costs but offers significant ROI for enterprises needing comprehensive data management. In contrast, Infobright DB presents a lower-cost alternative with rapid deployment and quicker ROI realization for specific analytics tasks.
| Product | Market Share (%) |
|---|---|
| Teradata | 9.5% |
| Infobright DB | 1.7% |
| Other | 88.8% |

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 1 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
Infobright's high performance analytic database is designed for analyzing large volumes of machine-generated data
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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