IBM Db2 Warehouse vs Teradata comparison

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IBM Db2 Warehouse

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Executive SummaryUpdated on Apr 20, 2025

Teradata and IBM Db2 Warehouse are leading solutions in the data warehousing market. Teradata holds an advantage in performance with its speed and analytical functions, while IBM Db2 Warehouse is known for its integration capabilities and reliable handling of large data volumes.

Features: Teradata is recognized for its parallel processing abilities, shared-nothing architecture, and strong performance in complex queries. It offers Massive Parallel Processing, efficient query execution, and good scalability. IBM Db2 Warehouse provides powerful data handling, efficient ETL, and analytics, with strong stability and security for large data processing.

Room for Improvement: Teradata users suggest enhanced cloud options, a more intuitive user interface, and broader platform integration. Pricing models and support for unstructured data are also concerns. IBM Db2 Warehouse is noted for limited documentation, interface challenges, and slower support responses. Improvements in scalability and deeper analytics integration are desired.

Ease of Deployment and Customer Service: Teradata offers extensive deployment across public, private, and hybrid clouds, praised for its adaptability. Its technical support is acknowledged for professionalism, though response times are sometimes slow. IBM Db2 Warehouse supports versatile deployment but lacks Teradata's flexibility in cloud integration. IBM's support is competent but is often critiqued for slower response times than Teradata.

Pricing and ROI: Teradata is criticized for high pricing, although its performance often justifies the cost. Its flexible pricing and subscription models are noted, yet high license fees can be a barrier for smaller companies. IBM Db2 Warehouse is also costly, with feedback highlighting its expense against competitors like Oracle. Both products deliver ROI through customer satisfaction and enhanced analytics, though high costs remain a common discussion point.

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

IBM Db2 Warehouse vs. Teradata

May 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

11th

Average Rating

7.8

Reviews Sentiment

6.6

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 (5th), 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 June 2025, in the Data Warehouse category, the mindshare of IBM Db2 Warehouse is 2.3%, up from 1.9% compared to the previous year. The mindshare of Teradata is 16.0%, up from 15.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse

Featured Reviews

Ismail Aboulezz

Chief Executive Officer at LeaseWeb

Enhancements in data analysis and decision-making elevate overall performance

The most valuable features of IBM Db2 Warehouse ( /products/ibm-db2-warehouse-reviews ) 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. The response time is very quick, and the technical manuals and support from IBM are of high quality. Additionally, it is easy to install, troubleshoot, operate, and secure the environment.

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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 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."

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

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

"I think it scales really well and as long as you take enough time to learn a little bit about it, it works really well."

"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."

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

"The solution is stable."

More IBM Db2 Warehouse pros

"It's a pre-configured appliance that requires very little in terms of setting-up."

"It handles large amounts of information with a linear performance increase, in relation to a HW investment."

"The most valuable feature is the ease of running queries."

"Teradata is a great, industry-leading data warehousing product that has MPP architecture."

"The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems."

"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."

"Teradata's capabilities enhance data management efficiency, support scalability, and contribute to faster query performance."

"Parallel processing features have helped to easily dump any size of data and retrieve data with great performance."

More Teradata pros

Cons

"The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting."

"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."

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

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

"Lacks sufficient documentation and particularly in Spanish."

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

"IBM Db2 Warehouse needs to improve its interface."

"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."

More IBM Db2 Warehouse cons

"Apart from Control-M, it would be nice if it could integrate with other tools."

"Teradata's UI could be more user-friendly."

"Stability-wise, we have had some issues with automation and the ability to handle large datasets."

"The solution is stable. However, there are times when we are using large amounts of data and we can see some latency issues."

"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."

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

"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."

"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."

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

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

"Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world."

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

"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."

"Teradata pricing is fine, and it's competitive with all the legacy models. On a scale of one to five, with one being the worst and five being the best, I'm giving Teradata a three, because it can be a little expensive, when compared to other solutions."

"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."

"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."

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

Educational Organization

45%

Financial Services Firm

16%

Computer Software Company

Government

Financial Services Firm

27%

Computer Software Company

11%

Healthcare Company

Manufacturing 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?

There is room for improvement in optimizing certain processes, but most issues arise from my data, hardware architecture, and resources, not from IBM Db2 Warehouse itself.

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 44% of the time

Oracle Exadata vs IBM Db2 Warehouse

Compared 22% of the time

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Oracle Exadata vs Teradata

Compared 13% of the time

SQL Server vs Teradata

Compared 10% of the time

Snowflake vs Teradata

Compared 7% of the time

IBM Db2 Database vs Teradata

Compared 6% of the time

MySQL vs Teradata

Compared 6% of the time

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Product Reports

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IBM Db2 Warehouse

June 2025

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May 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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