IBM Db2 Warehouse on Cloud vs Teradata comparison

IBM Db2 Warehouse on Cloud

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Executive SummaryUpdated on Jan 12, 2025

Teradata and IBM Db2 Warehouse on Cloud are leading data warehousing solutions offering unique advantages. IBM Db2 Warehouse is often seen as superior due to its comprehensive features, whereas Teradata is noted for cost-effectiveness and customer support.

Features: Teradata provides scalability, advanced analytics, and efficient management of large datasets. It uses a shared-nothing architecture and supports parallel processing for query execution. IBM Db2 Warehouse offers robust data processing, seamless integration, and supports real-time analytics. It ensures high performance with compression and data-skipping techniques that optimize query speed.

Room for Improvement: Teradata could enhance usability by simplifying its interface and reducing complexity for beginners. Its cloud offerings could be more cost-effective for scaling companies. IBM Db2 Warehouse may improve by offering clearer pricing models and reducing initial costs. Connectivity limitations could also be addressed to enhance cross-platform integration.

Ease of Deployment and Customer Service: IBM Db2 Warehouse is reputed for its straightforward, user-friendly deployment, accelerating implementation times. Teradata provides a streamlined setup with strong customer service ensuring swift problem resolution. While IBM Db2 Warehouse's deployment is user-centric, Teradata's customer support is a significant advantage.

Pricing and ROI: Teradata features competitive pricing and a clear cost structure, ideal for budget-conscious businesses seeking favorable ROI. IBM Db2 Warehouse requires a larger initial investment but offers higher long-term value through rich features and analytics capabilities. Teradata is favored for its affordability, whereas IBM Db2 Warehouse is chosen for delivering enhanced long-term value.

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

IBM Db2 Warehouse on Cloud vs. Teradata

April 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 on Cloud

Ranking in Cloud Data Warehouse

16th

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Cloud Data Warehouse

6th

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), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Marketing Management (6th)

Mindshare comparison

As of April 2025, in the Cloud Data Warehouse category, the mindshare of IBM Db2 Warehouse on Cloud is 0.5%, up from 0.3% compared to the previous year. The mindshare of Teradata is 8.9%, down from 10.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse

Featured Reviews

FarhanFarhan

Database Engineer at Meezan Bank

Enhancing analytics with seamless data dumping and reliable support

Our primary use case is data storage and analytics The organization has decided to purchase a full stack solution from IBM due to positive responses, which helped them upgrade from the previous version. The data dumping into the raw zone and the feature of BigQuery is quite attractive. There…

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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 way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger."

"It will be MPP, so performance should improve."

"It is stable when there is support from IBM."

"The performance is okay as long as the volume of queries is not too high."

"Teradata effectively uses parallelism to the granular level, performing better than other databases."

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

"IntelliFlex is easy to scale - one of its best features is that you can upscale it to the size you want."

"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."

"Building a data warehouse with Teradata has definitely helped a lot of our downstream applications to more easily access information."

"I like this solution's ease of design and the fact that its performance is quite good. It is stable as well."

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

"The tool's most valuable feature is the warehousing model."

More Teradata pros

Cons

"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."

"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."

"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."

"There are some limitations in adding data files to table spaces, and improvements are needed for regional support."

"Right now, we are implementing on ESX VMware 6.0. Support for this platform is poor. Also, one of the backup/recovery options is broken and IBM is not addressing the issue."

"The cloud is the new challenge and the new opportunity."

"It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved."

"There is some improvement required on OLTP level and some analytical function is missing."

"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."

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

"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."

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

"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."

More Teradata cons

Pricing and Cost Advice

"If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version."

"The solution requires a license."

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

"I am using the free version of Teradata."

"Teradata's licensing is on the expensive side."

"In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does."

"It comes at a notably high cost for what it offers."

"The cost is significantly high."

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

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

No data available

Financial Services Firm

26%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What advice do you have for others considering IBM Db2 Warehouse on Cloud?

Organizations of all sizes, especially those who are in need of powerful and elastic cloud data warehouse solutions that can help administrators maximize the efficiency of their data-based operatio...

What needs improvement with IBM Db2 Warehouse on Cloud?

There are some limitations in adding data files to table spaces, and improvements are needed for regional support.

What is your primary use case for IBM Db2 Warehouse on Cloud?

Our primary use case is data storage and analytics.

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,...

Oracle Exadata vs IBM Db2 Warehouse on Cloud

Comparisons

Compared 36% of the time

IBM Netezza Performance Server vs IBM Db2 Warehouse on Cloud

Compared 32% of the time

Amazon Redshift vs IBM Db2 Warehouse on Cloud

Compared 32% of the time

More IBM Db2 Warehouse on Cloud Competitors

Oracle Exadata vs Teradata

Compared 14% of the time

SQL Server vs Teradata

Compared 11% of the time

MySQL vs Teradata

Compared 7% of the time

Snowflake vs Teradata

Compared 7% of the time

IBM Db2 Database vs Teradata

Compared 7% of the time

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Product Reports

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Cloud Data Warehouse

April 2025

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March 2025

Also Known As

IBM dashDB

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture

Overview

IBM dashDB family offers private and public cloud database solutions for transactional and analytic workloads, with IBM fully managed or client managed options with a Common SQL engine across all deployment options.

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

Copenhagen Business School, BPM Northwest, GameStop

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