IBM Db2 Warehouse vs Teradata comparison

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IBM Db2 Warehouse

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Executive SummaryUpdated on Sep 30, 2025

Teradata and IBM Db2 Warehouse compete in the data warehousing category, with both offering high-performance solutions. Teradata often has the upper hand due to its parallel processing capabilities and broader toolset, leading to a more superior user experience.

Features: Teradata is praised for massive parallel processing, efficient resource allocation, and quick query processing across large datasets. Its Viewpoint tool provides valuable insights for system tuning. IBM Db2 Warehouse excels in handling big data and offers strong analytics capabilities, especially for business intelligence applications. It is recognized for its scalability and data retrieval speed.

Room for Improvement: Teradata could enhance cloud integration support and offer more flexible pricing. It also faces challenges with complexity and transaction processing improvements. IBM Db2 Warehouse needs better online resources and documentation to aid self-service troubleshooting. Faster technical support response times and better user guidance are also necessary enhancements.

Ease of Deployment and Customer Service: Teradata supports versatile deployment across on-premises, public, private, and hybrid clouds, ensuring flexibility. It generally enjoys robust support but could benefit from improved response times. IBM Db2 Warehouse focuses more on on-premises and private cloud setups and, while generally well-regarded, also needs improvements in response times.

Pricing and ROI: Teradata is considered a premium choice with high cost, delivering significant ROI, though its pricing may limit smaller businesses. In contrast, IBM Db2 Warehouse has pricing comparable to Oracle, perceived as high but valuable by clients willing to invest. Both solutions require understanding total costs for optimal ROI.

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

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

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (17th), Data Integration (15th), Relational Databases Tools (7th), BI (Business Intelligence) Tools (9th), Marketing Management (5th), Cloud Data Warehouse (3rd), Database Management Systems (DBMS) (4th)

Mindshare comparison

As of December 2025, in the Data Warehouse category, the mindshare of IBM Db2 Warehouse is 3.1%, up from 1.9% compared to the previous year. The mindshare of Teradata is 10.3%, down from 16.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Market Share Distribution
Product	Market Share (%)
Teradata	10.3%
IBM Db2 Warehouse	3.1%
Other	86.6%

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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David Durand Velásquez

Engineers at a consultancy with 11-50 employees

Delivers consistent performance and enables advanced analytics across complex data environments

Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

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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."

"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."

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

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

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

"The solution is stable."

"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."

More IBM Db2 Warehouse pros

"The data processing, clustering, and distributed computing are impressive."

"It is a highly robust software solution."

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

"The initial setup was straightforward."

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

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

"The best features Teradata offers, in my experience, include fast performance during multi-parallel processing, very good scalability, support for linear scalability, and its suitability for handling large volumes of data; additionally, it facilitates data integration, where we integrate and analyze data from various sources, making it a powerful and high-quality reliable solution for the company."

"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."

More Teradata pros

Cons

"IBM Db2 Warehouse needs to improve its interface."

"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 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."

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

"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."

"Lacks sufficient documentation and particularly in Spanish."

More IBM Db2 Warehouse cons

"Teradata's UI could be improved."

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

"Teradata has a few AI models, but in data science, we need more flexibility."

"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."

"Teradata is an old data warehouse, and they're not improving in terms of new, innovative features."

"I would like more security and speed."

"The reporting side wasn't very good in the past, but with the latest versions, it's getting better. Still, the friendliness of the PDC reporting and functionality needs to be improved."

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

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."

"It's a very expensive product."

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

"The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."

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

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

"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."

"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."

"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

Financial Services Firm

29%

Manufacturing Company

10%

Government

Educational Organization

Financial Services Firm

23%

Manufacturing Company

Computer Software 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	28
Midsize Enterprise	13
Large Enterprise	52

Questions from the Community

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?

What is your primary use case for IBM Db2 Warehouse?

The main advantages of IBM Db2 Warehouse become apparent when dealing with business intelligence applications. I worked with it when it was installed for one of our customers, a utilities company, ...

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

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Compared 13% of the time

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Compared 11% of the time

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Compared 9% of the time

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Compared 8% of the time

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Compared 8% of the time

Snowflake vs Teradata

Compared 6% of the time

SQL Server vs Teradata

Compared 6% of the time

IBM Db2 Database vs Teradata

Compared 6% of the time

Oracle Database vs Teradata

Compared 5% 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, Teradata Vantage Enterprise (DIY)

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 powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

Sample Customers

Alameda County Social Services Agency, Sui Southern Gas Company Limited

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IBM Db2 Warehouse vs. Teradata