Compare Google Cloud BigQuery and IBM Db2 
Featured Products
At a Glance
Market Segments
Enterprise (38.1% of reviews)
Enterprise (66.0% of reviews)
Entry-Level Pricing
Free
Free Trial 1 License
Google Cloud BigQuery
Star Rating
(1,224)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 5 pricing plansIBM Db2
Star Rating
(682)4.1 out of 5
Market Segments
Enterprise (66.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free Trial 1 License
Browse all 6 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in user experience, with many praising its serverless architecture that allows users to focus on data analysis without worrying about infrastructure. This makes it particularly appealing for those looking for a smooth and efficient workflow.
- Users say IBM Db2 is a robust choice for enterprise environments, especially in sectors like finance and healthcare, where data integrity and scalability are critical. Reviewers highlight its strong SQL optimization and integration capabilities with legacy systems, making it a reliable option for complex workloads.
- Reviewers mention that Google Cloud BigQuery's pay-as-you-go model simplifies operations, allowing users to experiment with larger datasets without the need for upfront provisioning. This flexibility is a significant advantage for teams looking to scale their data operations.
- According to verified reviews, IBM Db2 faces challenges in ease of setup compared to BigQuery, with some users noting that the initial configuration can be more complex. However, once set up, it provides a powerful platform for enterprise-level data management.
- Users highlight that Google Cloud BigQuery's performance in handling large queries is impressive, often solving billions of queries efficiently. This capability is particularly beneficial for organizations that require quick insights from vast amounts of data.
- G2 reviewers indicate that while both products offer strong data governance and security features, IBM Db2 has a slight edge in data security ratings, which is crucial for organizations handling sensitive information. However, BigQuery's cloud-native advantages make it a strong contender for modern data analytics needs.
Pricing
Entry-Level Pricing
Google Cloud BigQuery
Free
Free
New customers get $300 in free Google Cloud credits to spend on BigQuery with free trial sign-up.
- 10 GB storage
- Up to 1 TB queries per month
IBM Db2
Db2 On Cloud - Lite
Free Trial
1 License
A completely free edition of DB2 on Cloud.
- Enjoy high performance and elastic scaling with Db2’s fully managed database and warehouse solutions in the cloud. Try for free.
Free Trial
Google Cloud BigQuery
Free Trial is available
IBM Db2
Free Trial is available
Ratings
Meets Requirements
8.8
626
8.5
488
Ease of Use
8.7
642
8.0
497
Ease of Setup
8.7
416
7.7
263
Ease of Admin
8.5
227
7.7
242
Quality of Support
8.3
573
8.1
461
Has the product been a good partner in doing business?
8.6
220
8.3
234
Product Direction (% positive)
9.3
614
6.8
456
Features by Category
Management
8.6
121
Not enough data
8.3
119
Not enough data
Functionality
9.0
119
Not enough data
9.1
123
Not enough data
9.0
123
Not enough data
8.9
122
Not enough data
9.3
122
Not enough data
Data Management
8.9
224
|
Verified
8.6
52
|
Verified
8.3
210
|
Verified
8.1
48
|
Verified
8.9
215
|
Verified
8.6
49
|
Verified
8.6
219
|
Verified
8.2
48
|
Verified
8.3
204
|
Verified
7.5
34
|
Verified
8.6
201
|
Verified
7.6
34
|
Verified
Integration
8.5
202
|
Verified
7.8
43
|
Verified
8.6
214
|
Verified
8.1
45
|
Verified
8.6
201
|
Verified
8.1
42
|
Verified
Deployment
7.7
186
|
Verified
8.4
50
|
Verified
9.1
223
|
Verified
7.8
41
|
Verified
Performance
9.1
233
|
Verified
8.6
51
|
Verified
Security
8.7
208
|
Verified
8.7
46
|
Verified
9.2
214
|
Verified
9.0
35
|
Verified
Generative AI
7.6
127
8.3
8
7.8
124
8.3
8
Management
Not enough data
8.6
60
Not enough data
8.4
62
Not enough data
8.2
52
Not enough data
8.5
55
Support
Not enough data
8.0
57
Not enough data
8.4
60
Not enough data
7.9
60
Not enough data
8.4
61
Security
Not enough data
8.5
60
Not enough data
8.8
60
Not enough data
8.4
58
Not enough data
8.4
56
Performance
Not enough data
8.6
62
Not enough data
8.6
58
Not enough data
8.5
56
Not enough data
8.4
57
Not enough data
8.4
57
Database Features
Not enough data
8.7
306
Not enough data
8.8
309
Not enough data
8.8
309
Not enough data
8.4
304
Not enough data
8.8
302
Not enough data
8.4
303
Not enough data
8.4
308
Storage
9.1
70
Not enough data
8.8
70
Not enough data
Availability
8.4
62
Not enough data
8.5
66
Not enough data
8.6
68
Not enough data
Performance
8.5
65
Not enough data
Security
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Not enough data
Support
8.7
66
Not enough data
8.9
66
Not enough data
Automation
Not enough data
8.3
9
Not enough data
8.1
9
Not enough data
8.3
9
Not enough data
8.5
9
Functionality
Not enough data
7.4
9
Not enough data
8.1
9
Not enough data
8.0
9
Administration
Not enough data
8.3
8
Not enough data
7.7
8
Not enough data
7.7
8
Agentic AI - Data Warehouse Automation
Not enough data
Not enough data
Centralized computation
9.1
27
Not enough data
Localized computation
8.5
28
Not enough data
Statistical Tool
8.7
78
Not enough data
9.0
78
Not enough data
8.8
79
Not enough data
Data Analysis
9.3
78
Not enough data
9.1
79
Not enough data
Decision Making
8.8
79
Not enough data
8.7
77
Not enough data
8.7
79
Not enough data
8.7
77
Not enough data
Generative AI
7.5
50
Not enough data
7.8
50
Not enough data
Marketing Operations
8.8
65
Not enough data
9.2
64
Not enough data
8.9
64
Not enough data
9.4
65
Not enough data
8.8
63
Not enough data
8.4
62
Not enough data
Campaign Activity
9.1
67
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
61
Not enough data
8.9
62
Not enough data
9.0
64
Not enough data
Agentic AI - Marketing Analytics
8.7
15
Not enough data
9.6
15
Not enough data
8.2
15
Not enough data
Configuration
Not enough data
8.5
65
Not enough data
8.1
60
Not enough data
8.5
66
Not enough data
8.3
61
Not enough data
8.6
62
Database Administration
Not enough data
8.6
60
Not enough data
8.8
60
Not enough data
8.8
59
Availability
Not enough data
8.9
63
Not enough data
9.1
62
Not enough data
8.8
63
Not enough data
8.9
63
Security
Not enough data
8.4
41
Not enough data
8.8
42
Not enough data
8.8
41
Data Management
Not enough data
8.7
45
Not enough data
8.6
44
Database
8.8
175
Not enough data
8.9
173
Not enough data
8.7
167
Not enough data
Integrations
8.4
136
Not enough data
8.5
133
Not enough data
Platform
8.9
151
Not enough data
8.9
165
Not enough data
8.5
133
Not enough data
Processing
9.2
168
Not enough data
9.1
161
Not enough data
Data Transformation
8.8
283
Not enough data
9.3
293
Not enough data
Connectivity
8.1
251
Not enough data
8.2
249
Not enough data
8.7
278
Not enough data
8.7
269
Not enough data
Operations
8.5
279
Not enough data
8.7
277
Not enough data
8.3
255
Not enough data
8.4
262
Not enough data
8.5
254
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database Features
Not enough data
8.7
306
Not enough data
8.8
309
Not enough data
8.8
309
Not enough data
8.4
304
Not enough data
8.8
302
Not enough data
8.4
303
Not enough data
8.4
308
Categories
Categories
Shared Categories
Google Cloud BigQuery and IBM Db2 are categorized as Data Warehouse
Unique Categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Predictive Analytics, and Data Clean Room
IBM Db2 is categorized as Relational Databases, Object-Oriented Databases, XML Databases, Database as a Service (DBaaS), and Data Warehouse Automation
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Db2
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
16.1%
Computer Software
13.5%
Retail
7.0%
Financial Services
6.5%
Marketing and Advertising
5.2%
Other
51.7%
Information Technology and Services
21.6%
Banking
11.7%
Computer Software
10.1%
Financial Services
7.2%
Insurance
5.9%
Other
43.6%
Alternatives
Discussions
Is Big Query free?
3 Comments
BG
noRead more
Is BigQuery part of Google Cloud Platform?
2 Comments
AY
Yes, Bigquery is a GCP product and a serveless data wharehouse.Read more
How BQ legacy SQl is different form the standard SQL?
1 Comment
OD
Legacy SQL is a non-standard SQL only used by BigQuery. Standard SQL is compliant with the SQL 2011.
Google recommends using Standard SQL and looking at the...Read more
Where can I find answers to other questions I may have?
2 Comments
Official Response from IBM Db2
Please visit: https://developer.ibm.com/answers/questions/436870/common-questions-about-the-db2-on-cloud-free-plan/Read more
I want to replace KDB+ with DB2 BLU, before doing this in my project, i want to know following answers.
1. Is DB2 BLU , capable for this type of achievement which KDB+ do?
2. can you please give me a list comparison between DB2 BLU with KDB+?
1 Comment
NO
Please check:
https://db-engines.com/en/system/IBM+Db2%3BKdb%2B
Read more
Which tool do you use for deep monitoring of IBM DB2 databases (instances) ?
1 Comment
MF
Maxim, we have a dedicated management console that comes free with Db2. It was called Data Server Manager in the past, now we call it the Unified Management...Read more
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
