Teradata and Veeam Data Platform compete in the data technology sector, with Teradata showing superiority in high-speed data processing and scalability, whereas Veeam excels in data protection and ease of use.
Features: Teradata's features include high-speed data processing, parallel processing architecture, and advanced analytics, making it well-suited for large structured data volumes. Veeam Data Platform offers efficient backup and replication features, integration with virtual environments, and an intuitive interface for data protection and disaster recovery.
Room for Improvement: Teradata could improve its user interface, address complexity in its pricing model, and enhance scalability, especially for cloud integration and unstructured data handling. Veeam should focus on better integration with non-VMware environments, optimize pricing for advanced features, and expand compatibility and incremental backup capabilities.
Ease of Deployment and Customer Service: Teradata supports deployment across on-premises and cloud environments, providing robust technical support although response times vary. Veeam Data Platform is recognized for fast on-premises setup, user-friendliness, and excellent support. However, cloud integration can be challenging in complex environments.
Pricing and ROI: Teradata's higher pricing reflects its performance capabilities, offering value for large-scale analytics with strong ROI, though it may not be competitive for smaller operations. Veeam is a cost-effective solution with diverse pricing models for different infrastructure needs, delivering solid ROI, but recent price hikes affect its cost appeal.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
I would rate their technical support a 10 out of 10.
Most cases are handled perfectly.
This expansion can occur without incurring downtime or taking systems offline.
Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.
It involves acquiring additional licenses as needed.
In order to scale Veeam Data Platform, we have to pay a lot more money.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
There are no issues with stability in Veeam Data Platform.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
The improvement we would like to see is the option to scale Veeam Data up in smaller sections rather than large sections, which requires paying much more.
Compared to IBM, Veeam Data Platform is simpler but brings some challenges with automation in backup and Oracle backup configuration.
Reducing it by 20% would make it more accessible to a broader range of customers.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
I believe it is not expensive; it's the regular price.
Veeam Data Platform is more expensive than OpenStack because we pay for it in US dollars, while we pay for OpenStack in Egyptian pounds.
A reduction of 20% in the current cost would make the solution more attractive to clients.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
The most important aspect of this platform is data security with immutable data in the storage.
The platform is user-friendly, comprehensive, and compatible with numerous market solutions, including virtualization and bare metal servers.
It is also one of the most scalable backup solutions I've worked with.
Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.
As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.
What are the most important features of Teradata?Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.
Veeam Data Platform ensures comprehensive data resilience by offering secure backups and intelligent data insights, catering to the complexities of modern data management.
Veeam Data Platform empowers businesses with reliable data protection, orchestrated recovery, and streamlined management. Providing peace of mind, it guarantees data is secure, available, and effortlessly recoverable. Organizations benefit from features such as instant recovery, simplified management, and compatibility with virtual environments. While it shines in backup and restore capabilities, it calls for improvements in integration with physical servers and enhanced cyber security features.
What are the key features of Veeam Data Platform?Organizations in industries like finance, healthcare, and manufacturing utilize Veeam Data Platform for critical data management, ensuring business continuity and disaster recovery. Employed in securing both virtual and physical workloads, Veeam integrates cloud storage for enhanced scalability and efficiency.
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