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Compare Google Cloud BigQuery and IBM DataStage 
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At a Glance
Market Segments
Enterprise (38.1% of reviews)
Enterprise (73.3% of reviews)
Entry-Level Pricing
Free
No pricing available
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 DataStage
Star Rating
(71)4.0 out of 5
Market Segments
Enterprise (73.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about IBM DataStageSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in data transformation with a score of 9.1, allowing for seamless manipulation of large datasets, while IBM DataStage, with a score of 8.6, is noted for its robust data extraction capabilities but falls slightly behind in transformation efficiency.
- Reviewers mention that Google Cloud BigQuery's scalability is a standout feature, scoring 9.3, which enables users to handle massive data workloads effortlessly. In contrast, IBM DataStage, with a score of 8.0, is perceived as less flexible in scaling operations, particularly for enterprise-level demands.
- G2 users highlight the superior ease of setup in Google Cloud BigQuery, scoring 8.6, which is often praised for its user-friendly interface and quick deployment. Conversely, users on G2 report that IBM DataStage, with a score of 7.4, can be more complex to configure, requiring more time and technical expertise.
- Reviewers say that Google Cloud BigQuery's data visualization tools, scoring 8.3, provide intuitive insights and easy-to-create dashboards, making it a favorite among data analysts. In comparison, IBM DataStage lacks in this area, with users noting its visualization capabilities as less comprehensive.
- Users report that Google Cloud BigQuery's quality of support is rated at 8.3, with many praising the responsiveness and helpfulness of the support team. On the other hand, IBM DataStage, with a score of 7.7, has received mixed reviews regarding support, with some users expressing frustration over response times.
- Reviewers mention that Google Cloud BigQuery's built-in data analytics features, scoring 8.6, allow for advanced analytics directly within the platform, enhancing productivity. In contrast, IBM DataStage, while strong in data integration, does not offer the same level of integrated analytics, which users find limiting.
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 DataStage
No pricing availableFree Trial
Google Cloud BigQuery
Free Trial is available
IBM DataStage
No trial information availableRatings
Meets Requirements
8.8
612
8.5
47
Ease of Use
8.7
626
8.0
49
Ease of Setup
8.8
401
7.2
30
Ease of Admin
8.5
224
7.0
29
Quality of Support
8.4
564
7.7
48
Has the product been a good partner in doing business?
8.7
217
7.7
29
Product Direction (% positive)
9.2
600
7.2
42
Features by Category
Management
8.6
123
7.3
11
8.3
121
7.7
10
Functionality
9.0
121
7.4
12
9.1
124
8.5
12
9.0
124
8.2
12
8.9
123
7.2
12
9.4
124
7.9
12
Functionality
Not enough data
8.3
13
Not enough data
9.1
13
Not enough data
9.1
13
Not enough data
8.5
13
Not enough data
7.9
13
Not enough data
8.8
13
Not enough data
7.8
12
Not enough data
7.9
11
Data Management
8.9
223
|
Verified
Not enough data
8.3
214
|
Verified
Not enough data
8.9
219
|
Verified
Not enough data
8.6
215
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.7
205
|
Verified
Not enough data
Integration
8.6
204
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.6
204
|
Verified
Not enough data
Deployment
7.8
190
|
Verified
Not enough data
9.1
215
|
Verified
Not enough data
Performance
9.1
220
|
Verified
Not enough data
Security
8.7
211
|
Verified
Not enough data
9.2
217
|
Verified
Not enough data
Generative AI
7.7
132
Not enough data
7.9
129
Not enough data
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
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
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
Categories
Categories
Shared Categories
Google Cloud BigQuery and IBM DataStage are categorized as Big Data Integration Platforms and ETL Tools
Unique Categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
IBM DataStage is categorized as Data Mapping
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM DataStage
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%
Banking
21.7%
Information Technology and Services
16.7%
Financial Services
11.7%
Computer Software
10.0%
Retail
6.7%
Other
33.3%
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
How do I use the BDFS stage in Datastage?
1 Comment
RB
Hi Chanakyan
Please try to post your qu estion in this community to get quick answer from experts -...Read more
Can I possible to have free version of ibm Datastage in cloud based?
1 Comment
NS
Hello. You can try the lite version of IBM DataStage as a service for free here - https://cloud.ibm.com/catalog/services/datastageRead more
IBM DataStage has no more discussions with answers
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