

Teradata and NetApp SnapCenter compete in the data management space. Teradata holds an edge in complex data warehousing, while SnapCenter leads in data backup and restoration.
Features: Teradata features advanced data warehousing capabilities including massively parallel processing and fast data analytics. Its scalability is well-suited for large data volumes. SnapCenter excels in centralized management for data backup and recovery with seamless integration with NetApp hardware.
Room for Improvement: Teradata could benefit from cost reductions, enhanced handling of unstructured data, and a more user-friendly interface. SnapCenter needs better integration with non-NetApp systems, improved ease of use for non-NetApp environments, and stronger alerting mechanisms.
Ease of Deployment and Customer Service: Teradata is versatile in deployment with reliable customer service, though response time can improve. SnapCenter offers straightforward implementation within NetApp ecosystems and robust customer support.
Pricing and ROI: Teradata is an expensive but high-value tool with significant ROI for larger enterprises. SnapCenter, often bundled with NetApp hardware, provides cost efficiencies through its licensing model for existing customers.
At least fifteen to twenty percent of our time has been saved using Teradata, which has positively affected team productivity and business outcomes.
Independent research showed that Teradata VantageCloud users achieved an average ROI of 427% across three years with payback under a year, demonstrating the platform's ability to deliver a strong financial return.
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%.
The support from NetApp is very good, and I would rate it as ten points.
The technical support from NetApp is excellent.
The customer support for Teradata has been great.
They are responsive and knowledgeable, and the documentation is very helpful.
Customer support is very good, rated eight out of ten under our essential agreement.
Whenever we need more resources, we can add that in Teradata, and when not needed, we can scale it down as well.
This flexibility allows organizations to scale according to their needs, balancing performance, cost, and compliance requirements.
This expansion can occur without incurring downtime or taking systems offline.
Even though we have used multiple products in the private cloud, with NetApp, we haven't found any glitches.
Its massively parallel process architecture allows the platform to distribute workload efficiently, enabling organizations to run heavy analytic queries without compromising speed or stability.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
It should be more user-friendly and easier for customers to use.
I want to highlight two features for improvement: first, storing data in various formats without requiring a tabular structure, accommodating unstructured data; and second, adding AI ML features to better integrate Gen AI, LLM concepts, and user-friendly experiences such as text-to-SQL capabilities.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts.
The product should be free because it is just software to administrate systems purchased from NetApp, which are already expensive.
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.
Role-based access control (RBAC), strong audit and compliance features, high availability, fault tolerance, and encrypted data at rest and in-transit are key features.
The product is very stable and easy to install, which saves a significant amount of time during deployment.
Role-based access control and multi-factor authentication are security features available in NetApp SnapCenter.
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.
Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments.
It facilitates data integration, where we integrate and analyze data from various sources, making it a powerful and high-quality reliable solution for the company.
| Product | Mindshare (%) |
|---|---|
| Teradata | 0.8% |
| NetApp SnapCenter | 0.9% |
| Other | 98.3% |


| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 9 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
NetApp SnapCenter offers centralized management for backup and recovery, enhancing data protection and operation efficiency by integrating with storage systems and simplifying application management.
NetApp SnapCenter improves data protection with its centralized management, supporting essential enterprise functions with backup, restore processes, and fast recovery. Its ease of deployment, simplistic operational management, instant cloning, and role-based control contribute to its value. Integration with VMware streamlines virtualization tasks and promotes rapid restoration. While serving diverse environments like VMware, SQL, Oracle, and HANA databases, SnapCenter integrates well with existing systems but can enhance cloud integration and replication capabilities. Many enterprises leverage SnapCenter's centralized capabilities to maximize data management efficiency, managing extensive data seamlessly.
What are the key features of NetApp SnapCenter?Enterprises in sectors such as technology, finance, and healthcare implement NetApp SnapCenter for reliable data recovery and protection. The tool supports databases like Oracle for efficient application-aware operations, enhancing business continuity and reducing data-related risks.
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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