

Teradata and AWS Elastic Disaster Recovery are leading competitors in the fields of data processing and disaster recovery, respectively. Teradata holds the upper hand in data analytics with its advanced query optimization and robust capabilities, whereas AWS excels in disaster recovery due to its seamless replication and cost-effective solutions.
Features: Teradata offers high-speed data processing through massive parallel processing, providing exceptional query optimization and scalability for complex analytical queries. Its parallel architecture facilitates efficient data warehousing, making it suitable for large-scale analytics. AWS Elastic Disaster Recovery offers continuous data replication and automated failover processes, focusing on flexibility and reliability in recovery operations. It integrates seamlessly with AWS infrastructure, ensuring efficient disaster recovery solutions.
Room for Improvement: Teradata could enhance its handling of high transaction volumes, reduce costs, and expand cloud capabilities, particularly in support for unstructured data and improved cloud-based integration. AWS Elastic Disaster Recovery might benefit from enhanced logging and flexibility in integration, along with further automation and detailed monitoring features. Users also suggest a need for improving pricing models to make it more competitive.
Ease of Deployment and Customer Service: Teradata deployment can be complex, especially for on-premise solutions, but it provides hybrid and cloud options with high-rated technical support, though some users mention improvement in response times. AWS Elastic Disaster Recovery is simpler to deploy, aligning well with AWS environments, and offers proactive support, although users note the cost can be higher in deployment phases.
Pricing and ROI: Teradata is considered expensive but offers a strong ROI due to its data warehousing capabilities and comprehensive features. Users appreciate its robust reliability despite high costs. AWS Elastic Disaster Recovery, with its pay-as-you-go pricing model, is valued for its flexibility and cost-effectiveness in disaster recovery solutions, although there’s room for further cost optimizations noted by users.
However, with AWS Elastic Disaster Recovery Service being a native service, integration is seamless, highlighting the return on investment.
The recovery process requires fewer people and much less time, which has saved my organization engineering effort and operational time.
We no longer have to schedule employees on weekends since the system automatically triggers alerts, allowing engineers to respond as needed.
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%.
In case of any issue, they are ready to provide support within the defined SLA timeline.
Helping us in troubleshooting each and every step if we face any issues.
Higher tiers offer faster response time and more direct technical help.
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.
We can expand it to multiple data centers or different areas such as EMEA and APAC.
AWS Elastic Disaster Recovery is scalable because it can protect and replicate multiple servers and workloads, and it runs on AWS infrastructure.
The scalability is quite good and we were able to scale this service to many of the services that our company uses.
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.
It is very good and very reliable.
AWS is not difficult, but the cost associated with replicating data to another region can be significant.
AWS Elastic Disaster Recovery is stable.
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.
Our RPO improved from approximately three to four hours to less than one minute.
This would detail user activity directly in the ACL console for easier debugging and auditing.
It would be beneficial to get some insights when a disaster happens, including identification and probable solutions to ensure effective recovery.
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.
In my case, since the cloud is basically a pay-as-you-go model, we only pay for the replication storage, data transfer, and small staging instances.
Continuous replication minimizes data loss and the cost-efficient staging environment helps reduce infrastructure expenses compared to maintaining a full secondary disaster recovery site.
There is definitely a scope of improvement, and for year-end licensing, they should definitely improve the cost.
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.
AWS Elastic Disaster Recovery supports a wide range of source environments, including VMware, Hyper-V, physical servers, and other cloud providers, making it versatile for different IT infrastructures.
The low RPO at a seconds-level replication and a fast recovery with a low RTO provide the most cost-effective way, paying mostly for storage until failover.
Overall, the best combination of AWS Elastic Disaster Recovery is its near real-time replication and quick recovery testing, and this makes the service very useful in real-world scenarios.
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 | 0.7% |
| AWS Elastic Disaster Recovery | 0.8% |
| Other | 98.5% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 5 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
CloudEndure Disaster Recovery enables real-time replication and rapid recovery to enhance organizational resilience. Key features include block-level data replication, ease of use, cost-effectiveness, and automated recovery orchestration. Users benefit from increased efficiency, improved workflows, and enhanced data management, significantly improving organizational performance and business continuity.
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.