Teradata and IBM Netezza Performance Server compete in the data warehousing product category. Teradata appears to have the upper hand due to its extensive flexibility and scalability, supporting complex analytical tasks with advanced parallel processing.
Features: Teradata includes in-database data mining, intelligent workload management, fast query execution, and extensive parallel processing. Its optimizer and analytics integration stand out. IBM Netezza offers appliance-based warehousing, automated compression, efficient handling of large datasets, and embedded analytics, praised for high-speed analytics and quick setup.
Room for Improvement: Teradata needs to address its high pricing and complex cloud adaptation, alongside improved unstructured data support. IBM Netezza requires enhancements in concurrent query processing, cloud integrations, and big data interfaces. Both can improve user-friendliness.
Ease of Deployment and Customer Service: Teradata supports diverse deployment platforms with excellent customer service, though response times can be lengthy. IBM Netezza's appliance-focused model ensures seamless deployment and strong support but faces limited cloud presence.
Pricing and ROI: Teradata has a premium price, often justified by its performance and features, offering ROI via enhanced analytics despite high initial costs. IBM Netezza, though costly, remains competitive in scenarios demanding high-speed analytics, especially due to its appliance model.
We have realized a return on investment, with a reduction of staff from 27 to eight, and our current return on investment is approximately 14%.
Technical support is very costly for me, accounting for twenty-five to thirty percent of the product cost.
The customer support for Teradata has been great.
Customer support is very good, rated eight out of ten under our essential agreement.
The technical support from Teradata is quite advanced.
It is provided as a pre-configured box, and scaling is not an option.
This expansion can occur without incurring downtime or taking systems offline.
Teradata's scalability is great; it's been awesome.
Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
The cloud version is only available in AWS, and in the Middle East, it is not well-developed in the Azure environment.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
If Teradata could provide a list of certified experts, that would be fantastic.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
We spent roughly $295,000 on setup costs.
It operates as a high-speed data warehouse, which is essential for handling big data.
Teradata's security helps our organization meet compliance requirements such as GDPR and IFRS, and it is particularly essential for revenue contracting or revenue recognition.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Product | Market Share (%) |
---|---|
Teradata | 12.1% |
IBM Netezza Performance Server | 4.4% |
Other | 83.5% |
Company Size | Count |
---|---|
Small Business | 9 |
Midsize Enterprise | 5 |
Large Enterprise | 33 |
Company Size | Count |
---|---|
Small Business | 26 |
Midsize Enterprise | 12 |
Large Enterprise | 49 |
IBM Netezza Performance Server offers high performance, scalability, and minimal maintenance. It seamlessly integrates SQL for efficient data processing, making it ideal for enterprise data warehousing needs.
IBM Netezza Performance Server is known for its outstanding data processing capabilities. Its integration of FPGA technology, compression techniques, and partitioning optimizes query execution and scalability. Users appreciate its appliance-like architecture for straightforward deployment, distributed querying, and high availability, significantly boosting operations and analytics capabilities. However, there are areas for improvement, particularly in handling high concurrency, real-time integration, and specific big data functionalities. Enhancements in database management tools, XML integration, and cloud options are commonly desired, along with better marketing and community engagement.
What are the key features of IBM Netezza Performance Server?Industries rely on IBM Netezza Performance Server for robust data warehousing solutions, particularly in sectors requiring intensive data analysis such as finance, retail, and telecommunications. Organizations use it to power business intelligence tools like Business Objects and MicroStrategy for customer analytics, establishing data marts and staging tables to efficiently manage and update enterprise data. With the capacity to handle large volumes of compressed and uncompressed data, it finds numerous applications in on-premises setups, powering data mining and reporting with high reliability and efficiency.
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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