IBM Db2 Warehouse on Cloud vs Teradata comparison

IBM Db2 Warehouse on Cloud

Read 76 Teradata reviews

3,780 Views
2,240 Comparison Views

87% willing to recommend

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Apr 20, 2025

Teradata and IBM Db2 Warehouse on Cloud are competing in the data warehousing space. Teradata leads in scalability and analytics, while IBM Db2 Warehouse on Cloud excels in integration and deployment.

Features: Teradata offers high scalability, robust analytics, and real-time processing. It handles complex queries efficiently. IBM Db2 Warehouse on Cloud provides strong integration, versatile deployment, and machine learning capabilities. Its strength lies in intelligent integration and AI.

Room for Improvement: Teradata could enhance its integration features, simplify its user interface, and improve support for more streamlined query optimization. IBM Db2 Warehouse on Cloud may benefit from improving analytics depth, expanding scalability options, and enhancing real-time query handling capabilities.

Ease of Deployment and Customer Service: IBM Db2 Warehouse on Cloud offers straightforward deployment with flexible scaling and excellent customer support. Teradata focuses on performance tuning with an efficient, though less flexible, deployment process.

Pricing and ROI: Teradata involves higher setup costs but offers significant ROI for data-intensive operations due to its performance efficiency. IBM Db2 Warehouse on Cloud provides competitive pricing with cloud-specific benefits, leading to faster ROI realization.

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

IBM Db2 Warehouse on Cloud vs. Teradata

May 2025

Download the complete report

Helped 859,129 peers since 2012

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

4th

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), Data Warehouse (3rd), BI (Business Intelligence) Tools (9th), Marketing Management (6th)

Mindshare comparison

As of June 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 9.1%, down from 9.7% 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…

Read full review

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…

Read full review

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."

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

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

"The product is reliable."

"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."

"Auto-partitioning and indexing, and resource allocation on the fly are key features."

"The solution scales well on the cloud."

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

"The ease of deployment is useful so clients are up and running quickly in comparison to other products."

"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."

"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."

More Teradata pros

Cons

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

"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."

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

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

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

"Needs compatibility with more Big Data platforms."

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

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

"The solution’s pricing, scalability, and technical support response time could be improved."

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

"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."

"Sometimes the large injestion takes days to load data, and some of our stored procedures take two to three days."

More Teradata cons

Pricing and Cost Advice

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

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

"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."

"Teradata is a very expensive solution."

"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."

"The cost of running Teradata is quite high, but you get a good return on investment."

"The cost is significantly high."

"The price of Teradata could be less expensive."

"Teradata is currently making improvements in this area."

More Teradata pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.

See recommendations

859,129 professionals have used our research since 2012.

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…

Read full review

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

26%

Computer Software Company

11%

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 35% of the time

IBM Netezza Performance Server vs IBM Db2 Warehouse on Cloud

Compared 33% of the time

Amazon Redshift vs IBM Db2 Warehouse on Cloud

Compared 31% of the time

More IBM Db2 Warehouse on Cloud Competitors

Oracle Exadata vs Teradata

Compared 13% of the time

SQL Server vs Teradata

Compared 10% of the time

IBM Db2 Database vs Teradata

Compared 7% of the time

Snowflake vs Teradata

Compared 6% of the time

MySQL vs Teradata

Compared 6% of the time

More Teradata Competitors

Product Reports

Download IBM Db2 Warehouse on Cloud product report

Cloud Data Warehouse

June 2025

Download Teradata product report

May 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

Netflix