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Nimesa Backup and Recovery for AWS vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 5, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Nimesa Backup and Recovery ...
Ranking in Backup and Recovery
48th
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
4
Ranking in other categories
Disaster Recovery (DR) Software (26th)
Teradata
Ranking in Backup and Recovery
11th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
83
Ranking in other categories
Customer Experience Management (5th), Data Integration (15th), Relational Databases Tools (7th), Data Warehouse (2nd), BI (Business Intelligence) Tools (8th), Marketing Management (4th), Cloud Data Warehouse (2nd), Database Management Systems (DBMS) (5th)
 

Mindshare comparison

As of August 2026, in the Backup and Recovery category, the mindshare of Nimesa Backup and Recovery for AWS is 0.2%. The mindshare of Teradata is 0.8%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Backup and Recovery Mindshare Distribution
ProductMindshare (%)
Teradata0.8%
Nimesa Backup and Recovery for AWS0.2%
Other99.0%
Backup and Recovery
 

Featured Reviews

George Onalo - PeerSpot reviewer
Enterprise DevOps Lead at a consultancy with 11-50 employees
Automated disaster recovery has cut manual work and now protects cross‑region workloads confidently
There are three major areas where Nimesa Backup and Recovery for AWS can be improved: infrastructure as code integration, predictive AI analytics, and data compression. Currently, we construct our automated landing zones using IaC, but we still have to jump into Nimesa Backup and Recovery for AWS UI afterwards to manually configure the application backup groups and policies. Being able to declare all our backup schedules directly inside our Terraform code would streamline our automation pipelines massively. In terms of predictive AI reporting, it needs to be more reliable. While it executes scheduled backups perfectly, it lacks proactive anomaly detection. We want the AI agent to accurately predict and flag a potential backup failure or snapshot timeout before the job actually triggers and fails. This would save our DevOps team tons of triage time.
David Durand Velásquez - PeerSpot reviewer
Engineers at a consultancy with 11-50 employees
Delivers consistent performance and enables advanced analytics across complex data environments
Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Overall, these features make day-to-day backup operations more structured, reduce operational overhead, and improve confidence around recovery preparedness and cloud resilience."
"Nimesa Backup and Recovery for AWS helped us automate backup scheduling and policy management, gave us centralized visibility with a dashboard across AWS workloads of multiple accounts, helped us with a faster recovery process, and majorly reduced our operational overhead while improving our ransomware and data protection."
"As an Advanced Tier Partner, Nimesa Backup and Recovery for AWS has had a major positive impact on our delivery velocity and engineering efficiency."
"Previously, if we had any disaster or any issue, it would take days to bring the environment back up to the original state, and with Nimesa Backup and Recovery for AWS, we can do that within a couple of hours, which greatly reduces downtime in the case of disaster recovery."
"Teradata's most valuable feature is that it's easy to use."
"Teradata has positively impacted our organization by allowing our team to reduce from 27 people down to eight, consolidating our headcount, and helping the enterprise achieve a higher rate of internal return on financials."
"IntelliFlex is the Rolls Royce of data warehousing."
"Teradata can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again."
"Teradata's capabilities enhance data management efficiency, support scalability, and contribute to faster query performance."
"Teradata's scalability is one of its best features."
"The most valuable features of Teradata are that it is a massively parallel platform and I can receive a lot of data and get the queries out correctly, especially if it's been appropriately designed. The native features make it very suitable for multiple large data tasks in a structured data environment. Additionally, the automation is very good."
"We were able to migrate the code from SAS analytical platforms to pure Teradata and got an order of magnitude of performance growth (taking into account that the hardware was similar)."
 

Cons

"Customer support is fair and okay, though it could be better."
"Nimesa Backup and Recovery for AWS has a fairly small market presence."
"Regarding customer support, as this is a very new product and relatively new in the market, I am not sure how long they have been around, but there seems to be a lack of understanding with the support team."
"One area where Nimesa Backup and Recovery for AWS could improve is expanding advanced analytics and predictive monitoring capabilities, especially for identifying backup risks, storage optimization opportunities, and recovery readiness trends more proactively."
"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."
"I would like more security and speed."
"An area that needs improvement is the cloud-based version of the solution because it's designed for on-prem and then transferred to the cloud version."
"We are using an older version at the moment."
"​I think the UI is not there yet. It could be improved by being more user-friendly.​"
"It should be compatible and free on CLOUD/ AWS. Currently many DB's on AWS are free, Teradata is also on Amazon Web Services, but its charged and no documentation available to practice those LABS."
"Since I was working on the very basic, legacy systems, the memory thing was always a challenge. If Teradata is moving to the cloud, the space constraint or the memory issue that my company generally faces will eventually resolve, in time. What I'd like to see in the next release of Teradata is that it becomes full-fledged on the cloud, apart from better connectivity to various systems. For example, if I have to read or include a Python script, if I write some basic codes, I should be able to read even unstructured data. I know that it's not supported even in Snowflake, but at least semi-structured data support, if that can be a little more enhanced, that would be good."
"I truly believe that in five years, we will breach the effective limits of Teradata to perform in a multi-petabyte environment, i.e., without significant changes to its underlying architecture."
 

Pricing and Cost Advice

Information not available
"The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."
"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."
"It's a very expensive product."
"Teradata is expensive, so it's typically marketed to big customers. However, there have been some changes, and Teradata is now offering more flexible pricing models and equipment leasing. They've added pay-as-you-go and cloud models, so it's changing, but Teradata is generally known as an expensive high-end product."
"The price of the solution could be reduced, it is expensive."
"The price of Teradata is expensive. However, what they deliver they are outstanding. If you're looking for an inexpensive solution to run a database, this isn't your tool. It's the Ferrari of databases for data warehousing."
"​I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services​."
"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."
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Comparison Review

it_user232068 - PeerSpot reviewer
Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees
Aug 5, 2015
Netezza vs. Teradata
Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…
 

Top Industries

By visitors reading reviews
Construction Company
47%
Comms Service Provider
16%
Outsourcing Company
10%
Healthcare Company
6%
Financial Services Firm
18%
Manufacturing Company
8%
Construction Company
8%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise13
Large Enterprise53
 

Questions from the Community

What needs improvement with Nimesa Backup and Recovery for AWS?
Nimesa Backup and Recovery for AWS can be improved by adding reporting capability and the possibility for predictive insights if a backup is going to fail earlier, as we have with artificial intell...
What is your primary use case for Nimesa Backup and Recovery for AWS?
Our main use case for Nimesa Backup and Recovery for AWS is that we were looking for a backup and recovery solution that could provide centralized protection for our AWS workload and help us reduce...
What advice do you have for others considering Nimesa Backup and Recovery for AWS?
The advice I would give to others looking into Nimesa Backup and Recovery for AWS is that if an organization wants to clearly define their recovery objective and recovery time objective before impl...
Comparing Teradata and Oracle Database, which product do you think is better and why?
I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...
Which companies use Teradata and who is it most suitable for?
Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the comp...
Is Teradata a difficult solution to work with?
Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...
 

Also Known As

No data available
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)
 

Overview

 

Sample Customers

Information Not Available
Netflix
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909,725 professionals have used our research since 2012.