

Teradata and HPE Zerto Software are prominent in data solutions and disaster recovery. HPE Zerto Software holds an advantage in disaster recovery and data protection due to its near-synchronous replication and efficiency in minimizing downtime.
Features: Teradata is renowned for its ability to manage large data volumes effectively, offering robust features like partitioning, scalability, and parallel processing that enhance fast data handling and complex query execution. HPE Zerto Software excels in disaster recovery with its near-synchronous replication, offering efficient management and data protection, making it vital for minimizing failovers.
Room for Improvement: Teradata needs to focus on enhancing cloud integration, improving its user interface, and providing more cost-effective solutions, as users seek better cloud platform compatibility and affordable pricing options. HPE Zerto Software should work on its backup functionalities and pricing models, with users expressing a need for increased automation in failover configurations and better integration with new technologies and cloud environments.
Ease of Deployment and Customer Service: Teradata offers both on-premises and cloud deployments but faces challenges with cloud integration despite having highly rated technical support. Users desire faster response times. HPE Zerto Software supports a wide range of cloud environments and is praised for its ease of use and customer support, although some complexities arise during deployment and configuration, notably in hybrid setups.
Pricing and ROI: Both Teradata and HPE Zerto Software position themselves as premium offerings with pricing reflecting their capabilities. Teradata’s costs are justified by its performance, yet there is a strong demand for more competitive pricing against other databases. HPE Zerto’s price, although high, is seen as justified due to its reliability in disaster recovery scenarios, offering great value where data resilience and rapid recovery are prioritized.
Before, it was a huge cost. It was several thousand dollars to do a DR test, whereas now, I click a button.
It saves us a lot of time and gives us the ability to perform other DR plans for other systems.
It's not only in the cloud; it's DR as a service, which means that the recovery operations are performed by a dedicated team specializing in this area.
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%.
I have never had an issue that was not resolved, and I have never been in a situation where they did not respond.
I would give them a rating of ten because it represents the highest level of support based on the technical knowledge of the support team, response time, and effectiveness of the provided resolutions.
When I open a ticket, I usually get a call within an hour or two.
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.
I would rate it a ten out of ten for scalability.
Customers need to follow good engineering practices for optimal product use.
By adding more hosts and installing VRAs on each, tasks can be efficiently managed.
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.
I promptly delete the malfunctioning elements and set them up again to resume replication, ensuring stability.
The ease of use was so good with Zerto that they were able to migrate things much quicker.
It is very 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.
If I have 350 objects that I am protecting, I would like Zerto to be able to fire them up in one order, rather than having to manually bring them up in a sequence.
If the host has a lot of VMs on it, there may not always be enough time to relocate all of the VMs from a protection group standpoint to other hosts before the replication appliance that Zerto uses to manage that powers itself down.
If HPE Zerto Software has it built-in where we're going to vCenter and you click on it, it will build the VPG and indicate configuration requirements, that would be amazing.
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.
If you want a good-quality tool that is robust and does a good job for you, you have to pay a higher price to get that, and Zerto is no different.
However, it can become quite expensive when you start looking at the number of workloads you have in the environment and what you would like to do.
Zerto is easier to set up and use, and it's less 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.
Zerto offers excellent technical support with responsive and helpful experts.
If we were attacked, I could revert to a backup from five seconds before the attack, and no one would know we were attacked.
The replication time and the minor amount of time it takes to sync a new server outside of any of my huge 40-terabyte boxes is ridiculously quick.
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 (%) |
|---|---|
| HPE Zerto Software | 2.1% |
| Teradata | 0.5% |
| Other | 97.4% |

| Company Size | Count |
|---|---|
| Small Business | 90 |
| Midsize Enterprise | 86 |
| Large Enterprise | 196 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
Zerto is used for disaster recovery, business continuity, data migration, and ransomware recovery, providing continuous data protection and near real-time replication. Valued for ease of use, efficient failover processes, and versatile integration, it enhances organizational efficiency, reduces errors, and boosts productivity.
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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