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: August 2025).

IBM Db2 Warehouse vs. Teradata

August 2025

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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

10th

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 (7th), Backup and Recovery (22nd), Data Integration (17th), Relational Databases Tools (8th), BI (Business Intelligence) Tools (14th), Marketing Management (5th), Cloud Data Warehouse (4th)

Mindshare comparison

As of September 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 13.2%, down from 16.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Market Share Distribution
Product	Market Share (%)
Teradata	13.2%
IBM Db2 Warehouse	2.6%
Other	84.2%

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

"Provides good security and reliability."

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

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

"Some of the best features are stored procedures, parallelism, and different indexing strategies."

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

"The solution is stable."

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

"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."

More IBM Db2 Warehouse pros

"A conventional and easily defined way to build a data warehouse or a layer of data marts."

"The initial setup was straightforward."

"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."

"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."

"The most valuable feature of Teradata is the quick processing of large data."

"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."

"It has a solid set of tools and consulting services."

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

More Teradata pros

Cons

"It takes a long time to have a new version or release, similar to Oracle."

"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."

"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."

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

"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."

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

"Lacks sufficient documentation and particularly in Spanish."

More IBM Db2 Warehouse cons

"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."

"Azure Synapse SQL has evolved from a solely dedicated support tool to a data lake. It can store data from multiple systems, not just traditional database management systems. On the other hand, Teradata has limitations in loading flat files or unstructured data directly into its warehouse. In Azure Synapse SQL, we can implement machine learning using Python scripts. Additionally, Azure Synapse SQL offers advanced analytical capabilities compared to Teradata. Teradata is also expensive."

"The only issue our company has with Teradata IntelliFlex is that it is not cost-effective because of the way the product has been designed."

"GUI of administrative tools is really outdated."

"Teradata is an expensive tool. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities. Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions."

"The setup is not straightforward."

"I'm not sure about the unstructured data management capabilities. It could be improved."

"It would help to make scaling easier with a reduced cost. "

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."

"The price of Teradata could be less expensive."

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

"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."

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

"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."

"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."

"The cost is significantly high."

"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."

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…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

27%

Manufacturing Company

Government

Retailer

Financial Services Firm

25%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	3
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	25
Midsize Enterprise	12
Large Enterprise	49

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,...

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Compared 7% of the time

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Product Reports

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IBM Db2 Warehouse

September 2025

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August 2025

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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