Teradata and Oracle Autonomous Data Warehouse (ADW) compete in the data warehousing space. Oracle ADW seems to have an upper hand in terms of automation and ease of use, while Teradata is noted for its performance and scalability.
Features: Teradata excels in scalability and performance, offering parallel processing and advanced workload management. Its shared-nothing architecture and in-database analytics provide efficient insights. Users value its flexibility in processing large data volumes. Oracle ADW is favored for its simplicity and automation, with features like automatic tuning, scaling, and self-patching. Exadata technology ensures superior performance, and the integration with machine learning and other cloud services adds significant value.
Room for Improvement: Teradata could enhance transactional processing, modernize SQL functionality, and improve integration with big data platforms. Cost and complexity are also areas of concern. Oracle ADW needs to improve handling of semi-structured data and offer more customization similar to on-premises features. Enhancing unstructured data handling and advanced visualization options, along with addressing pricing concerns, are needed improvements.
Ease of Deployment and Customer Service: Teradata supports various deployment modes, including on-premises, private, and hybrid clouds, providing flexibility but also complexity in setup. Customer service experiences are mixed. Oracle ADW's deployment is primarily on the public cloud, which simplifies integration. It receives high ratings for customer service, despite challenges related to its evolving cloud offerings.
Pricing and ROI: Teradata is seen as expensive, justified by its capabilities and ROI from large, complex deployments. Its cost might deter smaller organizations. Oracle ADW offers flexible pricing models, including pay-as-you-go options, making it suitable for different workloads. Its competitive pricing, despite being viewed as high by some, combined with cloud integration, adds value. Both platforms report high ROI, with Oracle ADW's automation reducing overhead and Teradata's features maximizing performance.
| Product | Market Share (%) |
|---|---|
| Teradata | 8.4% |
| Oracle Autonomous Data Warehouse | 5.7% |
| Other | 85.9% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
Oracle Autonomous Data Warehouse is the world’s first and only autonomous database optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can rapidly, easily, and cost-effectively discover business insights using data of any size and type. Built for the cloud and optimized using Oracle Exadata, Autonomous Data Warehouse benefits from faster performance and, according to an IDC report (PDF), lowers operational costs by an average of 63%.
Autonomous Database provides the foundation for a data lakehouse—a modern, open architecture that enables you to store, analyze, and understand all your data. The data lakehouse combines the power and richness of data warehouses with the breadth, flexibility, and low cost of popular open source data lake technologies. Access your data lakehouse through Autonomous Database using the world's most powerful and open SQL processing engine.
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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