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Compare Google Cloud BigQuery and IBM Db2 
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At a Glance
Market Segments
Enterprise (38.1% of reviews)
Enterprise (66.1% of reviews)
Entry-Level Pricing
Free
Free Trial 1 License
Google Cloud BigQuery
Star Rating
(1,201)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansIBM Db2
Star Rating
(678)4.1 out of 5
Market Segments
Enterprise (66.1% 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.
- Users report that IBM Db2 excels in Data Replication with a score of 8.7, highlighting its robust capabilities for maintaining data consistency across multiple environments. In contrast, Google Cloud BigQuery, while strong, scored slightly lower at 8.4, indicating it may not be as efficient in this area.
- Reviewers mention that Google Cloud BigQuery shines in Cloud Processing, achieving a score of 9.2, which reflects its superior performance in handling large-scale data processing tasks. IBM Db2, with a score of 8.8, is still competent but does not match the cloud-native efficiency of BigQuery.
- G2 users highlight the Ease of Setup as a significant advantage for Google Cloud BigQuery, scoring 8.6 compared to IBM Db2's 7.6. Users appreciate BigQuery's straightforward onboarding process, making it more accessible for teams without extensive database management experience.
- Users on G2 report that IBM Db2's Data Quality features are impressive, scoring 8.7, with many reviewers praising its comprehensive data validation tools. Google Cloud BigQuery follows closely with a score of 8.8, but some users feel it lacks the depth of features found in Db2.
- Reviewers mention that Google Cloud BigQuery's Data Lake Integration capabilities are superior, scoring 8.6, which allows for seamless integration with various data sources. IBM Db2, while capable, scored 8.2, indicating it may require more effort to achieve similar integration levels.
- Users say that IBM Db2's Quality of Support is commendable, with a score of 8.0, and many users appreciate the responsiveness of their support team. Google Cloud BigQuery, with a score of 8.3, also receives positive feedback, but some users feel that the support could be more personalized.
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
612
8.5
485
Ease of Use
8.7
626
8.0
494
Ease of Setup
8.8
401
7.7
260
Ease of Admin
8.5
224
7.7
241
Quality of Support
8.4
564
8.1
458
Has the product been a good partner in doing business?
8.7
217
8.3
234
Product Direction (% positive)
9.2
600
6.8
453
Features by Category
Management
8.6
123
Not enough data
8.3
121
Not enough data
Functionality
9.0
121
Not enough data
9.1
124
Not enough data
9.0
124
Not enough data
8.9
123
Not enough data
9.4
124
Not enough data
Data Management
8.9
223
|
Verified
8.6
52
|
Verified
8.3
214
|
Verified
8.1
48
|
Verified
8.9
219
|
Verified
8.6
49
|
Verified
8.6
215
|
Verified
8.2
48
|
Verified
8.3
204
|
Verified
7.5
34
|
Verified
8.7
205
|
Verified
7.6
34
|
Verified
Integration
8.6
204
|
Verified
7.8
43
|
Verified
8.6
216
|
Verified
8.1
45
|
Verified
8.6
204
|
Verified
8.1
42
|
Verified
Deployment
7.8
190
|
Verified
8.4
50
|
Verified
9.1
215
|
Verified
7.8
41
|
Verified
Performance
9.1
220
|
Verified
8.6
51
|
Verified
Security
8.7
211
|
Verified
8.7
46
|
Verified
9.2
217
|
Verified
9.0
35
|
Verified
Generative AI
7.7
132
8.3
8
7.9
129
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
60
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
305
Not enough data
8.8
307
Not enough data
8.8
307
Not enough data
8.4
303
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
79
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
80
Not enough data
8.7
78
Not enough data
8.7
80
Not enough data
8.7
78
Not enough data
Generative AI
7.5
51
Not enough data
7.8
51
Not enough data
Marketing Operations
8.8
66
Not enough data
9.2
64
Not enough data
8.9
65
Not enough data
9.4
66
Not enough data
8.8
63
Not enough data
8.5
63
Not enough data
Campaign Activity
9.1
68
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
62
Not enough data
8.9
63
Not enough data
9.1
65
Not enough data
Agentic AI - Marketing Analytics
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
Not enough data
Configuration
Not enough data
8.5
65
Not enough data
8.1
60
Not enough data
8.5
65
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
62
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
40
Data Management
Not enough data
8.7
45
Not enough data
8.6
44
Database
8.8
178
Not enough data
8.9
176
Not enough data
8.8
170
Not enough data
Integrations
8.4
139
Not enough data
8.6
136
Not enough data
Platform
8.9
153
Not enough data
8.9
168
Not enough data
8.6
136
Not enough data
Processing
9.3
170
Not enough data
9.1
164
Not enough data
Data Transformation
8.8
288
Not enough data
9.3
295
Not enough data
Connectivity
8.1
256
Not enough data
8.2
254
Not enough data
8.7
283
Not enough data
8.8
274
Not enough data
Operations
8.5
283
Not enough data
8.7
282
Not enough data
8.3
260
Not enough data
8.4
267
Not enough data
8.5
259
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
305
Not enough data
8.8
307
Not enough data
8.8
307
Not enough data
8.4
303
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
16.2%
Computer Software
13.5%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.7%
Information Technology and Services
21.5%
Banking
11.8%
Computer Software
10.1%
Financial Services
7.2%
Insurance
5.9%
Other
43.4%
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
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