Try our new research platform with insights from 80,000+ expert users

BigQuery vs IBM Db2 Warehouse on Cloud comparison

Google and IBM are both solutions in the Cloud Data Warehouse category. Google is ranked #4 with an average rating of 8.3, while IBM is ranked #16 with an average rating of 8.0. Google holds a 7.0% mindshare in CDW, compared to IBM’s 0.5% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 85% of IBM users who would recommend it.
BigQuery
Read 40 BigQuery reviews
  • 3,303 Views
  • 2,698 Comparison Views
100% willing to recommend
IBM Db2 Warehouse on Cloud
Read 7 IBM Db2 Warehouse on Cloud reviews
  • 145 Views
  • 113 Comparison Views
85% willing to recommend
 

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.

DOWNLOAD THE COMPLETE REPORT
To learn more, read our detailed BigQuery vs. IBM Db2 Warehouse on Cloud Report (Updated: March 2025).
Buyer's Guide
BigQuery vs. IBM Db2 Warehouse on Cloud
March 2025
Download the complete report
Helped 848,207 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
4th
Average Rating
8.2
Reviews Sentiment
7.3
Number of Reviews
40
Ranking in other categories
No ranking in other categories
IBM Db2 Warehouse on Cloud
Ranking in Cloud Data Warehouse
16th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Cloud Data Warehouse category, the mindshare of BigQuery is 7.0%, down from 8.0% compared to the previous year. The mindshare of IBM Db2 Warehouse on Cloud is 0.5%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse
 

Featured Reviews

VikashKumar1 - PeerSpot reviewer
Easy to maintain and provides high availability
Since I used BigQuery over the GCP cloud environment, I'm not sure whether we can go through internal IDEAs like IntelliJ or DBeaver that we use to connect with databases. Instead of connecting directly to BigQuery, we connect to GCP, Cloud Run, and then to BigQuery, which is a long process. Sometimes, we face some issues, bugs, and defects. We must first connect with a VPN to check data issues while working from home. Then, it allows you to connect to the cloud. After logging into the cloud, it searches for the service we are looking for, and then we go to BigQuery. This is a long process. After that, we analyze the issues in a table. Instead, it would be very helpful if it could provide a tool that we can install on our MacBook or Windows system. Once we open this tool, we can connect directly to the BigQuery server and easily perform tasks.
Read full review
FM
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 solution is very useful nowadays for keeping a huge number of records."
"What I like most about BigQuery is that it's fast and flexible. Another advantage of BigQuery is that it's easy to learn."
"The setup is simple."
"The feature called calibrating the capacity is valuable."
"One of the most significant advantages lies in the decoupling of storage and compute which allows to independently scale storage and compute resources, with the added benefit of extremely cost-effective storage akin to object storage solutions."
"The most valuable features of BigQuery is that it supports standard SQL and provides good performance."
"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."
"The integrated data storage features are good."
More BigQuery pros
"The performance is okay as long as the volume of queries is not too high."
"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.​"
"It is stable when there is support from IBM."
 

Cons

"It would be helpful if they could provide some dashboards where you can easily view charts and information."
"We'd like to have more integrations with other technologies."
"When it comes to queries or the code being executed in the data warehouse, the management of this code, like integration with the GitHub repository or the GitLab repository, is kind of complicated, and it's not so direct."
"As a product, BigQuery still requires a lot of maturity to accommodate other use cases and to be widely acceptable across other organizations."
"It can be slower and more problematic compared to other platforms such as Snowflake."
"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."
"An area for improvement in BigQuery is its UI because it's not working very well. Pricing for the solution is also very high."
"I would like to see version-based implementation and a fallback arrangement for data stored in BigQuery storage. These are some features I'm interested in."
More BigQuery cons
"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."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"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."
"There are some limitations in adding data files to table spaces, and improvements are needed for regional support."
 

Pricing and Cost Advice

"The product’s pricing could be more flexible for end users."
"The platform is inexpensive."
"The pricing appears to be competitive for the intended usage scenarios we have in mind."
"Its cost structure operates on a pay-as-you-go model."
"The pricing is good and there are no additional costs involved."
"The price is a bit high but the technology is worth it."
"The solution is pretty affordable and quite cheap in comparison to PDP or Cloudera."
"The product operates on a pay-for-use model. Costs include storage and query execution, which can accumulate based on data volume and complexity."
More BigQuery pricing and cost advice
"If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version."
report
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
848,207 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
14%
Manufacturing Company
11%
Retailer
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
The price is perceived as expensive, rated at eight out of ten in terms of costliness. Still, it offers significant cost savings.
See all answers
What needs improvement with BigQuery?
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. In general, if I know SQL and start playing around, it will star...
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

Snowflake vs BigQuery Logo
Snowflake vs BigQuery
Compared 25% of the time
Oracle Autonomous Data Warehouse vs BigQuery Logo
Oracle Autonomous Data Warehouse vs BigQuery
Compared 16% of the time
Teradata vs BigQuery Logo
Teradata vs BigQuery
Compared 15% of the time
Vertica vs BigQuery Logo
Vertica vs BigQuery
Compared 14% of the time
Apache Hadoop vs BigQuery Logo
Apache Hadoop vs BigQuery
Compared 8% of the time
More BigQuery Competitors
Oracle Exadata vs IBM Db2 Warehouse on Cloud Logo
Oracle Exadata vs IBM Db2 Warehouse on Cloud
Compared 36% of the time
IBM Netezza Performance Server vs IBM Db2 Warehouse on Cloud Logo
IBM Netezza Performance Server vs IBM Db2 Warehouse on Cloud
Compared 32% of the time
Amazon Redshift vs IBM Db2 Warehouse on Cloud Logo
Amazon Redshift vs IBM Db2 Warehouse on Cloud
Compared 32% of the time
More IBM Db2 Warehouse on Cloud Competitors
 

Product Reports

Buyer's Guide
BigQuery
April 2025
BigQuery reportDownload BigQuery product report
Buyer's Guide
Cloud Data Warehouse
April 2025
IBM Db2 Warehouse on Cloud reportDownload 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
March 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: March 2025.
DOWNLOAD NOW
848,207 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.