

Teradata and NetApp Cloud Backup are solutions in data management and backup services. Teradata appears to have the upper hand in analytical capabilities, while NetApp Cloud Backup provides superior data protection.
Features: Teradata offers robust analytical tools, scalability, and comprehensive data integration suitable for large enterprises focusing on deep data analysis. NetApp Cloud Backup provides efficient data protection, seamless cloud integration, and robust security measures.
Ease of Deployment and Customer Service: Teradata integrates seamlessly and flexibly into varied IT environments, supported by strong customer service during deployment. NetApp Cloud Backup prioritizes simplicity in cloud deployment with extensive documentation and proactive support, making it suitable for businesses seeking straightforward backup solutions.
Pricing and ROI: Teradata demands a higher initial setup cost but offers long-term ROI through its powerful data analytics. NetApp Cloud Backup offers competitive pricing with cost-effective solutions for cloud integration and data security. Teradata's premium price is justified by its analytical returns, while NetApp Cloud Backup focuses on affordable security and reliability in backups.
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 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.
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.
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.
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.
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 | Market Share (%) |
|---|---|
| Teradata | 0.5% |
| NetApp Cloud Backup | 0.5% |
| Other | 99.0% |

| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
NetApp Cloud Backup is a fully integrated service for cloud backup and restoration. It was created to comply fully with NetApp's native data management software ONTAP, used for hybrid cloud experience. NetApp Cloud Backup is used to create backup and restoration for the protection and archiving of data, databases, and virtual machines related to the Cloud and On-Premises data in ONTAP. The way NetApp Cloud Backup works is by automatically creating block-level incremental backups. This ensures that the created backups are very fast and easy to restore. It is suitable for data protection regarding on-premises software as well as in the public cloud. NetApp Cloud Backup provides users with the ability to protect their cloud data at affordable prices and with a user-friendly interface so they don't need a lot of technical knowledge to be able to secure their cloud storage.
The copies created by NetApp Cloud Backup can be stored in the user's personal object storage in the cloud as well as on premises with StorageGRID - NetApp's storage platform. The backup copies can be restored to the original source or to a different source in Cloud Volumes ONTAP. NetApp Cloud Backup provides backups to AWS, Azure, and Google Cloud.
The features NetApp Cloud Backup provides include:
In addition to enhanced security and protection from malicious attacks, the advantages of using NetApp Cloud Backup include:
Abbasi P., a User at a financial services firm, likes that NetApp Cloud Backup is a completely agentless solution.
A Service Manager at a tech services company values its stability, scalability, and good technical support.
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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