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IBM Db2 Warehouse on Cloud vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 27, 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

IBM Db2 Warehouse on Cloud
Ranking in Cloud Data Warehouse
16th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
7
Ranking in other categories
No ranking in other categories
Teradata
Ranking in Cloud Data Warehouse
4th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
76
Ranking in other categories
Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (15th), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (9th), Marketing Management (6th)
 

Mindshare comparison

As of August 2025, in the Cloud Data Warehouse category, the mindshare of IBM Db2 Warehouse on Cloud is 0.7%, up from 0.3% compared to the previous year. The mindshare of Teradata is 8.7%, down from 9.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse
 

Featured Reviews

FM
Enhancing analytics with seamless data dumping and reliable support
Our primary use case is data storage and analytics The organization has decided to purchase a full stack solution from IBM due to positive responses, which helped them upgrade from the previous version. The data dumping into the raw zone and the feature of BigQuery is quite attractive. There…
RajeshKumar25 - PeerSpot reviewer
Harnessing advanced parallelism for top performance while embracing cloud trends
Teradata is primarily used for data warehousing across all customers. My clients have built-in applications that use Teradata, and their use varies from customer to customer, depending on the industry and database size. The primary function is as an OLAP analytical ecosystem Scalability is…

Quotes from Members

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

Pros

"It is stable when there is support from IBM."
"It will be MPP, so performance should improve."
"The performance is okay as long as the volume of queries is not too high."
"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger.​"
"The key advantages are Performance when processing Terabytes of data and scalability."
"The two types of partitioning have been very significant for us - row and columnar partitioning."
"It is a highly robust software solution."
"It is a stable solution. Stability-wise, I rate the solution a nine out of ten."
"The product is reliable."
"Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL tools"
"There are several features of Teradata that I like. One of the most basic is the indexes. I also like that it provides lower TCO. It also has the optimizer feature which is a good feature and isn't found in other legacy systems. Parallelism is also another feature I like in Teradata because when you are running or hosting on multiple systems, you have this shared-nothing architecture that helps. Loading and unloading in Teradata are also really helpful compared to other systems."
"Cuts time to process huge amounts of data with efficient analytical queries."
 

Cons

"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."
"Right now, we are implementing on ESX VMware 6.0. Support for this platform is poor. Also, one of the backup/recovery options is broken and IBM is not addressing the issue."
"There are some limitations in adding data files to table spaces, and improvements are needed for regional support."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."
"It would help to make scaling easier with a reduced cost. ​"
"There is some improvement required on OLTP level and some analytical function is missing."
"The tool's flexibility and capacity for expansion are areas of concern where improvements are required."
"Limited interest and success in some areas make us hesitate about upgrading."
"The solution could improve by having a cloud version or a cloud component. We have to use other solutions, such as Amazon AWS, Microsoft Azure, or Snowflake for the cloud."
"The setup is not straightforward."
"The scalability could be better. The on-premises solution is always more complicated to scale."
"Stability-wise, we have had some issues with automation and the ability to handle large datasets."
 

Pricing and Cost Advice

"If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version."
"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."
"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."
"​When looking into implementing this product, pricing is the main issue followed by technical expertise​."
"Teradata used to be expensive, but they have been lowering their prices."
"Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms."
"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."
"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 Teradata could be less expensive."
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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
No data available
Financial Services Firm
26%
Computer Software Company
10%
Manufacturing Company
7%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What advice do you have for others considering IBM Db2 Warehouse on Cloud?
Organizations of all sizes, especially those who are in need of powerful and elastic cloud data warehouse solutions that can help administrators maximize the efficiency of their data-based operatio...
What needs improvement with IBM Db2 Warehouse on Cloud?
There are some limitations in adding data files to table spaces, and improvements are needed for regional support.
What is your primary use case for IBM Db2 Warehouse on Cloud?
Our primary use case is data storage and analytics.
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

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

Overview

 

Sample Customers

Copenhagen Business School, BPM Northwest, GameStop
Netflix
Find out what your peers are saying about IBM Db2 Warehouse on Cloud vs. Teradata and other solutions. Updated: August 2025.
865,384 professionals have used our research since 2012.