BigQuery vs IBM Db2 Warehouse on Cloud comparison

Google and IBM are both solutions in the Cloud Data Warehouse category. Google is ranked #3 with an average rating of 8.4, while IBM is ranked #15 with an average rating of 8.0. Google holds a 8.0% mindshare in CDW, compared to IBM’s 0.8% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 85% of IBM users who would recommend it.

BigQuery

Read 41 BigQuery reviews

2,827 Views
2,431 Comparison Views

100% willing to recommend

IBM Db2 Warehouse on Cloud

Read 7 IBM Db2 Warehouse on Cloud reviews

382 Views
168 Comparison Views

85% willing to recommend

BigQuery

IBM Db2 Warehouse on Cloud

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 18, 2024

IBM Db2 Warehouse on Cloud and BigQuery compete in the cloud data warehousing category. While IBM Db2 Warehouse on Cloud offers robust integration and security features, BigQuery is often preferred for its superior analytics capabilities and scalability despite potential cost considerations.

Features: IBM Db2 Warehouse on Cloud excels in integration with IBM systems, encryption, and a user-friendly management console. BigQuery stands out with its serverless architecture, scalable data processing, and seamless integration with other Google Cloud services.

Room for Improvement: IBM Db2 Warehouse on Cloud could enhance its analytics speed and lower long-term costs. Improving user interface and cloud-native features could also be beneficial. BigQuery could focus on reducing complexity for non-technical users, simplifying cost management, and expanding real-time analytics features.

Ease of Deployment and Customer Service: IBM Db2 Warehouse on Cloud is known for its easy deployment within IBM ecosystems and reliable support. BigQuery offers a streamlined setup in Google Cloud environments, enhanced by efficient customer service, benefiting from its cloud-native design.

Pricing and ROI: IBM Db2 Warehouse on Cloud provides competitive initial setup costs and reasonable ROI within IBM infrastructures. BigQuery might be more expensive initially but offers significant long-term ROI through its powerful features and pay-as-you-go pricing model.

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

Buyer's Guide

BigQuery vs. IBM Db2 Warehouse on Cloud

September 2025

Download the complete report

Helped 869,566 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

BigQuery

Ranking in Cloud Data Warehouse

3rd

Average Rating

8.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Db2 Warehouse on Cloud

Ranking in Cloud Data Warehouse

15th

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Cloud Data Warehouse category, the mindshare of BigQuery is 8.0%, up from 7.8% compared to the previous year. The mindshare of IBM Db2 Warehouse on Cloud is 0.8%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Market Share Distribution
Product	Market Share (%)
BigQuery	8.0%
IBM Db2 Warehouse on Cloud	0.8%
Other	91.2%

Cloud Data Warehouse

Featured Reviews

Luís Silva

Chief Technical Lead at a consultancy with 201-500 employees

Handles large data sets efficiently and offers flexible data management capabilities

The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data. It is kind of difficult to explain, but structured data and the ability to handle large data sets are key features. The data integration capabilities in BigQuery were, in fact, an issue at the beginning. There are two types of integrations. As long as integration is within Google, it is pretty simple. When you start to try to connect external clients to that data, it becomes more complex. It is not related to BigQuery, it is related to Google security model, which is not easy to manage. I would not call it an integration issue of BigQuery, I would call it an integration issue of Google security model.

Read full review

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

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The initial setup is straightforward."

"The query tool is scalable and allows for petabytes of data."

"This solution is highly scalable."

"BigQuery excels at data analysis. It processes vast amounts of information using its advanced architecture and sophisticated querying capabilities, making it crucial for critical insights and safe for handling sensitive data."

"BigQuery allows for very fast access, and it is efficient in handling large datasets compared to other SQL databases."

"BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes."

"The solution is very useful nowadays for keeping a huge number of records."

"BigQuery is a powerful tool for managing and analyzing large datasets. The versatility of BigQuery extends to its compatibility with external data visualization tools like Power BI and Tableau. This means you not only get query results but can also seamlessly integrate and visualize your data for better insights."

More BigQuery pros

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

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

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

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

Cons

"It would be beneficial if BigQuery could be made more affordable."

"For greater flexibility and ease of use, it would be beneficial if BigQuery offered more third-party add-ons and connectors, particularly for databases that don't have built-in integration options."

"When I open many of the Google Cloud products, I am in an environment that I do not feel familiar with; it is a little overwhelming."

"It can be slower and more problematic compared to other platforms such as Snowflake."

"An area for improvement in BigQuery is its UI because it's not working very well. Pricing for the solution is also very high."

"There is a good amount of documentation out there, but they're consistently making changes to the platform, and, like, their literature hasn't been updated on some plans."

"I noticed recently it's more expensive now."

"Some of the queries are complex and difficult to understand."

More BigQuery cons

"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."

"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."

Pricing and Cost Advice

"We are above the free threshold, so we are paying around 40 euros per month for BigQuery."

"The tool has competitive pricing."

"Its cost structure operates on a pay-as-you-go model."

"1 TB is free of cost monthly. If you use more than 1 TB a month, then you need to pay 5 dollars extra for each TB."

"The platform is inexpensive."

"The price could be better. Usually, you need to buy the license for a year. Whenever you want more, you can subscribe to it, and you can use it. Otherwise, you can terminate the license. You can use it daily or monthly, and we use it based on a project's requirements."

"BigQuery pricing can increase quickly. It's a high-priced solution."

"The pricing appears to be competitive for the intended usage scenarios we have in mind."

More BigQuery pricing and cost advice

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

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

869,566 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

16%

Financial Services Firm

14%

Manufacturing Company

11%

Retailer

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	9
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	3

Questions from the Community

What do you like most about BigQuery?

The initial setup process is easy.

See all answers

What is your experience regarding pricing and costs for BigQuery?

I believe the cost of BigQuery is competitive versus the alternatives in the market, but it can become expensive if the tool is not used properly. It is on a per-consumption basis, the billing, so ...

See all answers

What needs improvement with BigQuery?

I have not used BigQuery for AI and machine learning projects myself. I know how to use it, and I can see where it would be useful, but so far, in my projects, I have not included a BigQuery compon...

See all answers

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...

See all answers

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.

See all answers

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

Our primary use case is data storage and analytics.

See all answers

Comparisons

Oracle Autonomous Data Warehouse vs BigQuery

Compared 20% of the time

Teradata vs BigQuery

Compared 14% of the time

Snowflake vs BigQuery

Compared 12% of the time

OpenText Analytics Database (Vertica) vs BigQuery

Compared 12% of the time

AWS Lake Formation vs BigQuery

Compared 6% of the time

More BigQuery Competitors

IBM Netezza Performance Server vs IBM Db2 Warehouse on Cloud

Compared 36% of the time

Amazon Redshift vs IBM Db2 Warehouse on Cloud

Compared 34% of the time

Oracle Exadata vs IBM Db2 Warehouse on Cloud

Compared 30% of the time

More IBM Db2 Warehouse on Cloud Competitors

Product Reports

Buyer's Guide

BigQuery

October 2025

Download BigQuery product report

Buyer's Guide

Cloud Data Warehouse

October 2025

Download IBM Db2 Warehouse on Cloud product report

Also Known As

No data available

IBM dashDB

Overview

BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.

Google

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

Sample Customers

Information Not Available

Copenhagen Business School, BPM Northwest, GameStop

Buyer's Guide

BigQuery vs. IBM Db2 Warehouse on Cloud

September 2025

Free Report: BigQuery vs. IBM Db2 Warehouse on Cloud

Find out what your peers are saying about BigQuery vs. IBM Db2 Warehouse on Cloud and other solutions. Updated: September 2025.

DOWNLOAD NOW

869,566 professionals have used our research since 2012.

See our BigQuery vs. IBM Db2 Warehouse on Cloud report.

See our list of best Cloud Data Warehouse vendors.

We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.