

Teradata and Cohesity DataProtect are key players in the data management industry, with both offering strong capabilities for different aspects of data management. Teradata leads in data warehousing and analytics, while Cohesity excels in backup and data recovery, particularly providing strong cost-effectiveness.
Features: Teradata has robust data warehousing capabilities, uses parallel processing, and supports large data volumes, providing high performance and scalability. Tools like TPump and Viewpoint facilitate real-time data loads and simple deployment. Cohesity DataProtect emphasizes quick and efficient backup and recovery with excellent ransomware protection. Its single platform simplifies data management and offers instant recovery, which users find enhances storage efficiency.
Room for Improvement: Teradata could enhance its scalability, pricing structure, and support for unstructured data. It also should focus on better cloud adoption to stay competitive. Cohesity needs to accelerate feature updates and improve documentation. Enhancements in user interface and broader support for legacy systems are desired to boost user experience.
Ease of Deployment and Customer Service: Teradata is typically deployed on-premises, providing strong technical support though response times vary. Cohesity offers a straightforward deployment and a user-friendly interface, earning praise for protecting hybrid cloud environments. Like Teradata, it receives commendation for good customer support but could benefit from quicker support updates and more proactive service.
Pricing and ROI: Teradata is seen as an expensive solution, suitable for large enterprises due to its pricing and scalability limits, though it provides significant ROI through superior analytics. Cohesity DataProtect is valued for its cost-effectiveness, particularly in disaster recovery, positioning itself competitively against Rubrik and Veeam by offering comprehensive features at a good price point.
Using Cohesity DataProtect is easier to manage, and it simplifies various components into one architecture, reducing the need for extensive human resources to manage 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 support can depend on the region, and for larger customers, I advise having a Technical Account Manager for better assistance.
For the support, I can provide a rating of four only because they initially provide some steps, but later say they are not sure, which is a problem in a production environment.
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.
Cohesity DataProtect is built on a scale-out architecture, which means it can effectively scale to meet various needs.
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.
On the whole, any problems were more related to hardware limitations rather than issues with Cohesity DataProtect itself.
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.
The container functionality is very limited at the moment, not covering the whole container.
While there are improvements to be made, such as providing support for older systems like IBM iSeries and tandem systems from HP, the solution overall shifts from older methods to modern practices.
There is room to improve the user interface of Cohesity DataProtect for more intuitive navigation.
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.
I find Cohesity DataProtect to be 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 platform is based on a scale-out architecture with each node having compute, RAM, SSD, and HDD.
Global deduplication ensures that only unique data blocks are stored, significantly reducing storage consumption.
The option to maintain evidence in Europe for regulatory compliance, the ability to maintain the backup with the same technology and same control plane, along with the same solutions to use backup solutions such as S3 or similar services in AWS, is what we are working with.
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 (%) |
|---|---|
| Cohesity DataProtect | 1.8% |
| Teradata | 0.8% |
| Other | 97.4% |


| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 22 |
| Large Enterprise | 43 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
Cohesity DataProtect integrates with VMware and cloud services like AWS and Azure, offering rapid VM restores and mass recovery, ransomware protection with immutable snapshots, intuitive UI, and scalability. It also consolidates data management, reducing data fragmentation.
Cohesity DataProtect provides comprehensive data protection and management through a user-friendly platform. It offers seamless integration with existing infrastructure, minimizing downtime and maximizing data security. Intuitive features like automated processes, centralized management, and robust search capabilities enhance operational efficiency. Despite areas needing improvement in reporting, interface usability, and legacy support, the platform remains a reliable choice for data backup, recovery, and ransomware protection. Users benefit from its compatibility with VMware, SQL, and Exchange and its ability to replace outdated tape systems while supporting cloud replication and test environments.
What key features does Cohesity DataProtect offer?Cohesity DataProtect is successfully implemented across industries such as finance, healthcare, and education, optimizing data protection and compliance needs. Organizations leverage its robust backup and recovery capabilities, ensuring data integrity and security while facilitating efficient resource use and operation management.
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.
We monitor all Backup and Recovery reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.