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 (6th), Backup and Recovery (20th), Data Integration (17th), Relational Databases Tools (8th), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)

Mindshare comparison

As of May 2025, in the Data Warehouse category, the mindshare of IBM Db2 Warehouse is 2.2%, up from 1.7% compared to the previous year. The mindshare of Teradata is 15.9%, up from 15.5% 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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SurjitChoudhury

Data engineer at Cocos pt

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.

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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

"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."

"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."

"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."

"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."

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

"The solution is stable."

More IBM Db2 Warehouse pros

"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."

"I've never had any issues with scalability."

"I like writing preformance queries for preprocessing on AWS Cloud."

"It's very, very fast"

"It has reduced a lot of reworking on maintaining indexes, partitions, etc."

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

"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."

"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."

More Teradata pros

Cons

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

"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."

"Lacks sufficient documentation and particularly in Spanish."

"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."

"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."

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

More IBM Db2 Warehouse cons

"It needs a teaching web site with more training on third-party tools used for BI."

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

"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."

"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 tool's flexibility and capacity for expansion are areas of concern where improvements are required."

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

"It could use some more advanced analytics relating to structured and semi-structured data."

"It's primarily designed for big projects and therefore, the pricing is pretty high. It's not suitable for smaller companies."

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 product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."

"The initial cost may seem high, but the TCO is low."

"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."

"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 price of the solution could be reduced, it is expensive."

"The price of Teradata could be less expensive."

"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."

"When looking into implementing this product, pricing is the main issue followed by technical expertise."

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

56%

Financial Services Firm

13%

Computer Software Company

Government

Financial Services Firm

26%

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 23% of the time

More IBM Db2 Warehouse Competitors

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

More Teradata Competitors

Product Reports

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IBM Db2 Warehouse

May 2025

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April 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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