Try our new research platform with insights from 80,000+ expert users

Quest Rapid Recovery vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 20, 2025

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

Quest Rapid Recovery
Ranking in Backup and Recovery
36th
Average Rating
8.8
Reviews Sentiment
5.7
Number of Reviews
20
Ranking in other categories
No ranking in other categories
Teradata
Ranking in Backup and Recovery
20th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
76
Ranking in other categories
Customer Experience Management (6th), Data Integration (17th), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)
 

Mindshare comparison

As of May 2025, in the Backup and Recovery category, the mindshare of Quest Rapid Recovery is 0.6%, down from 0.6% compared to the previous year. The mindshare of Teradata is 0.1%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Backup and Recovery
 

Featured Reviews

Adam Augustín - PeerSpot reviewer
Granular recovery, replication is good and offers good speed
It is for any kind of company that uses their own servers. From a global perspective, our clients are small-sized companies. All the SMEs, compared to the Slovakian market, are quite small. It's a small market with small companies. They just want to enhance security and follow regulations It's…
SurjitChoudhury - PeerSpot reviewer
Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities
We created and constructed the warehouse. We used multiple loading processes like MultiLoad, FastLoad, and Teradata Pump. But those are loading processes, and Teradata is a powerful tool because if we consider older technologies, its architecture with nodes, virtual processes, and nodes is a unique concept. Later, other technologies like Informatica also adopted the concept of nodes from Informatica PowerCenter version 7.x. Previously, it was a client-server architecture, but later, it changed to the nodes concept. Like, we can have the database available 24/7, 365 days. If one node fails, other nodes can take care of it. Informatica adopted all those concepts when it changed its architecture. Even Oracle databases have since adapted their architecture to them. However, this particular Teradata company initially started with its own different type of architecture, which major companies later adopted. It has grown now, but initially, whatever query we sent it would be mapped into a particular component. After that, it goes to the virtual processor and down to the disk, where the actual physical data is loaded. So, in between, there's a map, which acts like a data dictionary. It also holds information about each piece of data, where it's loaded, and on which particular virtual processor or node the data resides. Because Teradata comes with a four-node architecture, or however many nodes we choose, the cost is determined by that initially. So, what type of data does each and every node hold? It's a shared-no architecture. So, whatever task is given to a virtual processor it will be processed. If there's a failure, then it will be taken care of by another virtual processor. Moreover, this solution has impacted the query time and data performance. In Teradata, there's a lot of joining, partitioning, and indexing of records. There are primary and secondary indexes, hash indexing, and other indexing processes. To improve query performance, we first analyze the query and tune it. If a join needs a secondary index, which plays a major role in filtering records, we might reconstruct that particular table with the secondary index. This tuning involves partitioning and indexing. We use these tools and technologies to fine-tune performance. When it comes to integration, tools like Informatica seamlessly connect with Teradata. We ensure the Teradata database is configured correctly in Informatica, including the proper hostname and properties for the load process. We didn't find any major complexity or issues with integration. But, these technologies are quite old now. With newer big data technologies, we've worked with a four-layer architecture, pulling data from Hadoop Lake to Teradata. We configure Teradata with the appropriate hostname and credentials, and use BTEQ queries to load data. Previously, we converted the data warehouse to a CLD model as per Teradata's standardized procedures, moving from an ETL to an EMT process. This allowed us to perform gap analysis on missing entities based on the model and retrieve them from the source system again. We found Teradata integration straightforward and compatible with other tools.

Quotes from Members

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

Pros

"The solution's most valuable aspect is its ability to back up a physical server to another physical or virtual server."
"It is very easy to use and very easy to manage. The fact that I can easily recover data is valuable. I don't use it much. The only way I have been using it is that sometimes, people ask to recover the data, which is a very easy process. It takes only a few minutes to get in and get the data from the server."
"Probably the point-in-time recovery is most valuable. The other piece that is really nice is that you can mount a whole server at any point in time. So, you can mount the server with all the drives to a Z drive or something like that. It will just mount it all up, and your data is accessible right there on one drive, which is nice."
"The fact that it can take a snapshot of everything on a server and replicate it on another server in real-time is the most valuable feature."
"Definitely, the mount and recovery points are the most valuable, because if someone deletes a file or something, or if something gets corrupted, we can always revert back to an old change because our repository goes about a month back. The ability to roll back files and the ability to roll back servers is really important."
"The general backup for replication and virtual standby are the most valuable aspects. It does what it says it does. It's a decent tool for not a big budget."
"The data protection strategy varies on a case-by-case basis, but overall, it's doing well."
"The local mount utility is most valuable. I do restores fairly regularly. Thankfully, I have not ever lost an entire server that I've had to resurrect, but I certainly have people who erroneously saved over a file or have deleted a file. So, we've done that quite a bit. We still have the DL4000 appliance, and we had, kind of, extrapolated that out over a five-year period. Now, we're in year six, so we had to add storage, which we did as a SAN next to DL4000, but prior to adding in that extra storage, we, here and there, would run into situations where for whatever reason, it would want to be pulling a new base image, and then we would run out of storage. So, we would utilize the archive feature and archive the old data that we want to hang on to, but we don't necessarily need it taking up current data storage. Being able to export out really old data is most valuable to us. Then, we just store that on a NAS that we keep in another building."
"The solution scales well on the cloud."
"Improved performance of ETL procedures, reporting."
"It effectively has allowed us to remove over 20 portion copies of the data sets on other DB platforms for real-time operational reporting purposes."
"Designing the database is easy."
"The flexibility in design is very good."
"The product's scalability is great. Scalability-wise, I rate the solution a ten out of ten."
"It has increased the speed of reporting."
"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."
 

Cons

"When you do a full backup, all of the memory resources on the server are used, which is something that should be improved."
"In terms of what needs improvement in Quest Rapid Recovery, though the solution is seamless, right now, they are just giving the software which means we'll need to arrange the hardware. If they can combine the appliance and software, that would be a great approach. In the next release of Quest Rapid Recovery, it would be great if they'd add a folder backup feature because only a snapshot backup feature is available at the moment."
"There could be better space management for incremental data. When you use incremental data, the space in the appliance keeps on going up. There should be a better way to manage the space. You have to manage the incremental data to reduce the time."
"I think the self-paced learning and knowledge base can always be improved so that users can self-service without having to contact either a reseller or Quest. I know there are things that I would have been looking for to try and solve. And the only way I could get there was to actually open a ticket rather than go through self-service through the portal."
"There is room for improvement in customer service and support. I would like to see faster response time."
"One area where Quest Rapid Recovery has room for improvement is in the handling of snapshots on Hyper-V."
"In case, if there is anything, it would be the speed of the operation to be finished. Even then, I can easily work on the storing function before the operation is finished."
"For the most part, it is really good in terms of flexibility and choice of recovery methods. What we found lacking was being able to back up virtual volumes that are clustered. We ran out of luck there. There should be an option for backing up clustered virtual volumes."
"Teradata has a few AI models, but in data science, we need more flexibility."
"The SQL Assistant is very basic. This tool can be improved for usability."
"Limited interest and success in some areas make us hesitate about upgrading."
"I would like to see more integration with many different types of data."
"The solution’s pricing, scalability, and technical support response time could be improved."
"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab."
"They should add more connectors to different platforms."
"​Their level of technical support is adequate. It could be better.​"
 

Pricing and Cost Advice

"I'm not aware of the exact cost of Quest Rapid Recovery because I'm from the technical team, but in general, the solution is quite competitive cost-wise."
"I don't think the licensing for the product is very expensive."
"It is a little expensive. However, I haven't compared it to other solutions. Being a nonprofit, it is always good to have nonprofit discounts on products."
"Licensing fees are based on the amount of data that you want to store, which is related to how many customers you want to cover."
"Its price is okay. It is reasonable in terms of the way it works."
"When I purchased the change to the license, it was $1,600. I think that was for changing the license. I don't believe that I had to purchase technical support in a while, so I must've bought maybe for five years, but I don't feel there was a huge cost involved in technical support. Its cost was definitely worth it because we've had a fantastic experience with them."
"It's very expensive which is why I want to drop it. They charge us per core and we have a six-core server. It's expensive to pay for maintenance charges. I want to switch to something cheaper."
"The pricing is on the higher end."
"​When looking into implementing this product, pricing is the main issue followed by technical expertise​."
"The price of Teradata could be less expensive."
"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."
"The price of the solution could be reduced, it is expensive."
"The cost of running Teradata is quite high, but you get a good return on investment."
"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."
"We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."
"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."
report
Use our free recommendation engine to learn which Backup and Recovery solutions are best for your needs.
850,236 professionals have used our research since 2012.
 

Comparison Review

it_user232068 - PeerSpot reviewer
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
Computer Software Company
18%
Manufacturing Company
9%
Financial Services Firm
8%
Real Estate/Law Firm
6%
Financial Services Firm
26%
Computer Software Company
11%
Healthcare Company
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Quest Rapid Recovery?
The most valuable feature of Quest Rapid Recovery for our organization is the VM recovery functionality.
What is your experience regarding pricing and costs for Quest Rapid Recovery?
Dell solutions are approximately 30% to 35% more expensive than Veeam.
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

Dell AppAssure
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture
 

Overview

 

Sample Customers

PRIME aerostructures GmbH, Tamworth Regional Council, Rhondda Housing Association, Stadtwerke Pforzheim GmbH & Co., Guangdong Aiyingdao Childrens Department Store, Nspyre, Tarrant Technology Partners, CloudRunner
Netflix
Find out what your peers are saying about Quest Rapid Recovery vs. Teradata and other solutions. Updated: April 2025.
850,236 professionals have used our research since 2012.