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: April 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

12th

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 (7th), 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 solution is stable."

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

"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."

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

"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."

"Provides good security and reliability."

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

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

More IBM Db2 Warehouse pros

"We really enjoy the FastLoad, TPump, and MultiLoad features."

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

"Teradata's best feature is its speed with historical data."

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

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

"Designing the database is easy."

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

More Teradata pros

Cons

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

"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."

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

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

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

"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."

"Lacks sufficient documentation and particularly in Spanish."

More IBM Db2 Warehouse cons

"There is a need to improve performance in high transaction processes, as well as the reporting system."

"Needs compatibility with more Big Data platforms."

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

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

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

"The initial setup was complex as we had to rewrite a lot of the code."

"I would like to see an improved Knowledge Base on the web."

"Teradata could improve by being less complicated. There are some aspects that are not available on the Unix server and a Unix system is required to access some data, such as in case of an emergency."

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

"It's a very expensive product."

"I am using the free version of Teradata."

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

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

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

"The solution requires a license."

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

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

12%

Computer Software Company

Government

Financial Services Firm

26%

Computer Software Company

10%

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 43% of the time

Oracle Exadata vs IBM Db2 Warehouse

Compared 24% of the time

More IBM Db2 Warehouse Competitors

Oracle Exadata vs Teradata

Compared 14% of the time

SQL Server vs Teradata

Compared 11% of the time

Snowflake vs Teradata

Compared 7% of the time

MySQL vs Teradata

Compared 7% of the time

IBM Db2 Database vs Teradata

Compared 6% of the time

More Teradata Competitors

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