Teradata and NetApp AltaVault are competitors in the data management space. Teradata stands out for its superior data warehousing capabilities, making it better suited for complex data environments, while AltaVault offers user-friendly backup and recovery solutions at cost-effective rates.
Features: Teradata's key features include massively parallel processing, efficient workload management, and robust security. It handles complex queries and integrates diverse data sources effectively. NetApp AltaVault focuses on data backup, recovery, and cloud storage integration, providing a straightforward solution for secure data archiving.
Room for Improvement: Teradata could enhance unstructured data processing, reduce licensing costs, and improve cloud scalability and integration capabilities. It would also benefit from better training resources. AltaVault might improve its reporting features, expand volume limits, and enhance platform integration.
Ease of Deployment and Customer Service: Teradata is praised for its deployment versatility across on-premises, public, and hybrid cloud environments, supported by strong technical support, though response times could improve. NetApp AltaVault offers easy deployment across on-premises and hybrid clouds, with responsive support that enhances user convenience.
Pricing and ROI: Teradata, though costly, is recognized for delivering consistent ROI through advanced analytics, but requires more competitive pricing strategies. AltaVault is considered cost-effective with manageable licensing fees, offering a straightforward pricing model, making it an attractive option for budget-conscious users.
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.
There are different integrations available with NetApp AltaVault, such as AWS, Microsoft Azure, Google Cloud, and I want to understand how they impact data security policies in my case.
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 AltaVault | 0.7% |
| Other | 98.5% |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 1 |
| Large Enterprise | 10 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
NetApp AltaVault provides seamless data archiving and backup with flexible cloud and on-premise integration. It offers efficient data management through features like encryption, deduplication, and a user-friendly interface, ensuring reliable storage solutions with robust support.
NetApp AltaVault stands out with its ability to integrate with AWS, Azure, and Google Cloud, providing users with a versatile platform for storing data in cost-effective ways. Its strengths lie in fast recovery, easy initial setup, and strong technical support. Users benefit from its local cache-to-cloud backup solution, effective archiving capabilities, and scalable storage options. However, there are areas for improvement, such as better integration with Veeam, expanded SnapMirror volume limits, and enhanced catalog features. Some issues persist with SMB protocol and monitoring reliability, and it could benefit from faster indexing and automatic capacity adjustments.
What are the key features of NetApp AltaVault?In industry applications, NetApp AltaVault is frequently used for video data archival at ports, ensuring safety through extended monitoring and retention. Large volumes of file and object data are archived without needing comprehensive filers, often utilizing cloud buckets. Its utility also extends to data backup for emails and SharePoint instances in the cloud, although some organizations opt for native ONTAP as certain archiving functions transition. Implementation is tailored to meet industry's specific requirements for data security and storage 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?
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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