IBM Db2 Warehouse vs Teradata comparison

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IBM Db2 Warehouse

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Executive SummaryUpdated on Jul 27, 2025

Teradata and IBM Db2 Warehouse compete in the data warehousing category, each offering distinct advantages. Teradata is favored for its speed and performance, whereas IBM Db2 Warehouse stands out for scalability and cloud deployment.

Features: Teradata offers massively parallel processing and a shared-nothing architecture, ensuring fast query execution. Its adaptability and query tuning efficiency support complex queries. IBM Db2 Warehouse is recognized for its scalability and integration capabilities, offering robust analytics and data security.

Room for Improvement: Teradata can improve its high pricing and cloud integration features. Enhancements in handling unstructured data and retrieval times are needed. IBM Db2 Warehouse needs better documentation, support response times, and user interface, along with improved training and community support.

Ease of Deployment and Customer Service: Teradata supports cloud and hybrid deployment but encounters challenges with cost and complexity, with varying technical support responsiveness. IBM Db2 Warehouse focuses on on-premises and private cloud, with solid customer service but needs better technical support.

Pricing and ROI: Teradata, though expensive, delivers significant returns with its performance and analytics. Cost-benefit analysis is essential for investment optimization. IBM Db2 Warehouse offers a mid-range pricing solution, providing stable returns in line with similar enterprise offerings.

To learn more, read our detailed IBM Db2 Warehouse vs. Teradata Report (Updated: July 2025).

IBM Db2 Warehouse vs. Teradata

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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

Ranking in Data Warehouse

11th

Average Rating

7.8

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Data Warehouse

3rd

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (15th), Relational Databases Tools (8th), BI (Business Intelligence) Tools (9th), Marketing Management (6th), Cloud Data Warehouse (4th)

Mindshare comparison

As of August 2025, in the Data Warehouse category, the mindshare of IBM Db2 Warehouse is 2.6%, up from 1.8% compared to the previous year. The mindshare of Teradata is 15.2%, down from 15.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse

Featured Reviews

Sherpard Muzuva

Senior Technical Manager- IBM Enterprise Systems at SYSTEMS INTEGRATED LTD (SYMPHONY)

Advanced features enhance business intelligence, but complex management calls for improved user guidance

While my experience with IBM Db2 Warehouse is somewhat limited, when compared to other databases such as Oracle, there are areas for improvement. They need to enhance the database to make it more user-friendly and easier to master. They should implement a more comprehensive graphical user interface with additional features. For instance, when users encounter problems, the system should provide better guidelines and troubleshooting directions, except for hardware-related issues. They need to implement tools that would help users perform basic troubleshooting rather than solely relying on support. Other databases have features where users can investigate specific issues using error codes. From my experience, many minor issues could be resolved before escalating to support.

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RajeshKumar25

Principal Consultant & Director at Quensulting

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…

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Quotes from Members

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

Pros

"It can be mounted on the cloud, which is a huge plus. If the client, for example, starts small with on-premise deployment and then it rapidly needs to grow, we can transfer this to the cloud easily."

"The solution is stable."

"The analytics engine is not bad at forecasting predictions."

"Provides good security and reliability."

"IBM Db2 Warehouse is more resilient when dealing with business intelligence applications."

"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."

"It can scale effectively as long as resources are available."

"The most valuable features of IBM Db2 Warehouse include its availability, easy integration, ability to deal with a large size of data, excellent performance with no delays, powerful security mechanisms, and effective support."

More IBM Db2 Warehouse pros

"It is quick, secure, and has less hassles because we don't have to involve our networking team, infrastructure, etc. It is very easy to deploy and make market ready."

"The performance is great, we are able to query our data in one operation."

"The two types of partitioning have been very significant for us - row and columnar partitioning."

"It has increased the speed of reporting."

"The most valuable feature is the ease of uploading data from multiple sources."

"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."

"The feature that we find most valuable is its ability to perform Massive Parallel Processing."

"It is a highly robust software solution."

More Teradata pros

Cons

"The biggest challenge anyone could have with Db2 Warehouse is their references or online resources and documentation. They are very, very, very limited on the web."

"There were some initial challenges with IBM Db2 Warehouse about eight months ago when I worked in this environment. When I coordinated with IBM support, they mentioned that the memory was insufficient for our needs. Our business environment required significantly more memory than the previous cluster could provide. Consequently, we have worked closely with on-site IBM technical personnel to address this issue."

"There should be more material available for training and training should be free."

"Responding to support tickets takes a lot of time. It can range from two to four days, even for critical issues."

"The primary challenges customers face with IBM Db2 Warehouse are related to its complexity in usage. It requires highly skilled professionals who understand Db2, and both training and support are challenging to obtain."

"In terms of improvement, IBM Db2 Warehouse should be more scalable."

"IBM Db2 Warehouse needs to improve its interface."

"The biggest problems we have is when the backup solution is failing or slow and we run out of log space, which has happened probably a couple of times in the last four years."

More IBM Db2 Warehouse cons

"The following could be better: licensing, architecture openness, integration with other tools."

"Limited interest and success in some areas make us hesitate about upgrading."

"Needs compatibility with more Big Data platforms."

"The primary challenge with Teradata lies in its cost structure, encompassing subscription fees, software licenses, and hardware expenses."

"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."

"Teradata is somewhat late in adopting cloud technology."

"I think the UI is not there yet. It could be improved by being more user-friendly."

"Teradata is a bit late for the cloud."

More Teradata cons

Pricing and Cost Advice

"In a traditional on-prem database, in a data warehouse, the solution is probably on the expensive side."

"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."

"It comes at a notably high cost for what it offers."

"I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services."

"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."

"Teradata is not cheap, but you get what you pay for."

"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 cost of running Teradata is quite high, but you get a good return on investment."

"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."

More Teradata pricing and cost advice

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Comparison Review

it_user232068

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…

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Top Industries

By visitors reading reviews

Financial Services Firm

28%

Government

Manufacturing Company

Computer Software Company

Financial Services Firm

26%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about IBM Db2 Warehouse?

The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data.

What is your experience regarding pricing and costs for IBM Db2 Warehouse?

The pricing for medium and large environments is almost the same as Oracle. I rate the pricing as six out of ten.

What needs improvement with IBM Db2 Warehouse?

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,...

Snowflake vs IBM Db2 Warehouse

Comparisons

Compared 43% of the time

Oracle Exadata vs IBM Db2 Warehouse

Compared 19% of the time

Amazon Redshift vs IBM Db2 Warehouse

Compared 11% of the time

More IBM Db2 Warehouse Competitors

Oracle Exadata vs Teradata

Compared 13% of the time

SQL Server vs Teradata

Compared 9% of the time

IBM Db2 Database vs Teradata

Compared 8% of the time

Snowflake vs Teradata

Compared 7% of the time

Amazon Redshift vs Teradata

Compared 6% of the time

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Product Reports

IBM Db2 Warehouse

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Also Known As

InfoSphere Warehouse, IBM InfoSphere Warehouse

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

Overview

InfoSphere Warehouse is a suite of products that combines the strength of DB2 with a data warehousing infrastructure from IBM. You can use InfoSphere Warehouse to build a complete data warehousing solution that includes a highly scalable relational database, data access capabilities, and front-end analysis tools.

IBM

Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.

As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.

What are the most important features of Teradata?

Linear Scalability: Easily expands data processing capabilities to handle increasing data loads without performance degradation.
Advanced Analytics: Supports complex analytical operations integrating machine learning and AI for predictive insights.
SQL Compatibility: Offers a comprehensive SQL interface that supports complex queries across diverse data types.
Data Security: Implements rigorous security protocols to protect data integrity and confidentiality.

What benefits and ROI should users look for?

Improved Decision-Making: Derive actionable insights quickly for strategic business decisions.
Cost Efficiency: Optimized resource usage reduces operational costs associated with data processing.
Increased Productivity: Streamlined data operations save time, allowing teams to focus on analysis.
Enhanced Scalability: Seamless growth without significant additional investment as data volumes increase.

Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.

Sample Customers

Alameda County Social Services Agency, Sui Southern Gas Company Limited

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IBM Db2 Warehouse vs. Teradata