

Teradata and Cohesity Data Cloud are key competitors in data management, analytics, and protection. While Teradata is preferred for advanced data analytics due to its high performance and scalability, Cohesity Data Cloud excels in data protection and seamless integration capabilities.
Features: Teradata is known for its massive parallel processing, scalability in handling large volumes of structured data, and advanced analytics and data integration capabilities. Cohesity Data Cloud stands out with its robust data protection measures, managed service offerings, and efficient deduplication capabilities that allow it to handle extensive data volumes effectively.
Room for Improvement: Teradata users highlight the need for better cost management, improved handling of unstructured data, and easier initial setup with more AI tool integration. Cohesity Data Cloud could enhance by reducing costs, expanding support for legacy systems, and strengthening cloud integration. Both require optimization in specific areas to better meet user needs.
Ease of Deployment and Customer Service: Teradata offers flexible deployment across on-premises and cloud setups but may face challenges in initial setup and documentation. Its technical support is generally positively noted but can be slow. Cohesity Data Cloud is recognized for its user-friendly setup, reliable support, and ease of integration across various environments.
Pricing and ROI: Teradata is considered premium-priced but provides significant ROI due to its powerful performance, albeit high costs for smaller projects. Cohesity Data Cloud's pricing is viewed as expensive; its service model offers cost-effectiveness, particularly for ransomware protection, aligning with compliance needs. While Teradata offers high-value returns through robust capabilities, Cohesity emphasizes value in data protection.
If I find myself stuck in a cyber recovery situation, this tool can help me avoid spending my money on ransom payments.
The level of confidence that Cohesity Data Cloud delivers to the clients is worth that cost.
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%.
issues with Cohesity Data Cloud have not been encountered, suggesting a robust service.
They need to work faster to meet client requirements, especially when business is affected.
They probably upstaffed and made sure their knowledge was more up-to-date.
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.
Scaling depends on subscription levels - when customers exceed their subscribed storage capacity, they can pay Cohesity to scale the resources.
There are no issues with scalability on the cloud end.
It's easy to add additional nodes to a current existing cluster, making it quite easy to expand.
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.
Compared to other tools, it is very efficient and simple to learn.
I couldn't find anything negative about Cohesity Data Cloud specifically.
Cohesity Data Cloud is quite reliable.
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.
Issues such as ransomware protection and fixing vulnerabilities should be prioritized.
Cohesity Data Cloud scans backups by default for ransomware and malware, sending notifications if there are any security concerns or compromised systems.
The primary drawback is the need to transfer large amounts of data to the cloud via an internet connection, requiring significant bandwidth.
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.
Cohesity Data Cloud is more costly in the long term compared to physical tapes.
Comparatively, compared to IBM and Commvault, Cohesity Data Cloud offers the best deal for my environment.
All organizations are very interested in as-a-service model where they do not pay upfront cost, but they only get the services and pay for what they use as they use it.
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.
It replicates data to the cloud in a tamper-proof manner, offering protection against ransomware attacks since it is not under administrative control.
They have a feature called DataSock, which enhances data protection.
The initial deployment of Cohesity Data Cloud, from my experience, is easy.
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% |
| Cohesity Data Cloud | 1.1% |
| Other | 98.1% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 1 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
Cohesity Data Cloud offers scalable and secure data management, ensuring fast deployment and robust protection against threats like ransomware.
Cohesity Data Cloud integrates seamlessly with major infrastructure, provides comprehensive data management, and enhances data continuity with effective security against ransomware. With features like global deduplication, virtualization, and simplified cloud management through Helios, it addresses the needs of users. Though some users report challenges with setup and costs, it still offers performance optimization and supports critical services like NFS and S3.
What are the key features of Cohesity Data Cloud?In industries like finance, healthcare, and technology, Cohesity Data Cloud plays a crucial role in data protection, recovery, and consolidation. Organizations utilize it for secure backup and disaster recovery, accommodating diverse environments like physical servers and cloud platforms such as Azure and AWS. Its integration with SaaS services ensures data continuity while minimizing 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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