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Compare Celigo and Google Cloud BigQuery 
Featured Products
At a Glance
Market Segments
Mid-Market (57.6% of reviews)
Enterprise (37.9% of reviews)
Entry-Level Pricing
Free
Free
Celigo
Star Rating
(849)4.6 out of 5
Market Segments
Mid-Market (57.6% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 4 pricing plansGoogle Cloud BigQuery
Star Rating
(1,204)4.5 out of 5
Market Segments
Enterprise (37.9% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansCeligo vs Google Cloud BigQuery
When assessing the two solutions, reviewers found them equally easy to use. However, Google Cloud BigQuery is easier to set up , while reviewers preferred administration and ease of doing business with Celigo overall.
- Reviewers felt that Celigo meets the needs of their business better than Google Cloud BigQuery.
- When comparing quality of ongoing product support, reviewers felt that Celigo is the preferred option.
- When assessing product direction, Celigo and Google Cloud BigQuery received similar ratings from our reviewers.
Pricing
Entry-Level Pricing
Celigo
Free Edition
Free
Get started with a free integration flow at celigo.com
- 2 Endpoint apps
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
Free Trial
Celigo
Free Trial is available
Google Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
9.2
728
8.8
614
Ease of Use
8.7
736
8.7
629
Ease of Setup
8.5
645
8.8
404
Ease of Admin
8.9
586
8.5
225
Quality of Support
8.9
709
8.4
566
Has the product been a good partner in doing business?
9.2
581
8.6
218
Product Direction (% positive)
9.2
705
9.2
602
Features by Category
Management
Not enough data
8.6
123
Not enough data
8.3
121
Functionality
Not enough data
9.0
121
Not enough data
9.1
125
Not enough data
9.0
125
Not enough data
8.9
124
Not enough data
9.4
124
Data Management
Not enough data
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
Integration
Not enough data
8.6
204
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.6
204
|
Verified
Deployment
Not enough data
7.8
190
|
Verified
Not enough data
9.1
216
|
Verified
Performance
Not enough data
9.1
223
|
Verified
Security
Not enough data
8.7
211
|
Verified
Not enough data
9.2
217
|
Verified
Generative AI
Not enough data
7.7
132
Not enough data
7.9
129
Functionality
9.6
62
Not enough data
9.6
60
Not enough data
Management
9.4
59
Not enough data
9.3
59
Not enough data
9.1
58
Not enough data
Integrations
9.7
72
Not enough data
9.0
53
Not enough data
Security
9.6
56
Not enough data
9.4
55
Not enough data
Support
9.2
59
Not enough data
Development
9.2
435
Not enough data
8.8
271
Not enough data
9.4
375
|
Verified
Not enough data
9.3
384
|
Verified
Not enough data
9.2
322
|
Verified
Not enough data
9.3
276
Not enough data
9.0
235
Not enough data
Management
9.1
334
|
Verified
Not enough data
9.0
286
|
Verified
Not enough data
9.3
343
|
Verified
Not enough data
9.3
317
|
Verified
Not enough data
9.2
255
Not enough data
Security
9.3
271
|
Verified
Not enough data
9.3
274
|
Verified
Not enough data
9.4
278
|
Verified
Not enough data
Integration Options
9.3
253
Not enough data
9.2
270
|
Verified
Not enough data
8.8
232
Not enough data
9.0
241
|
Verified
Not enough data
Deployment
9.1
216
Not enough data
9.4
248
Not enough data
Storage
Not enough data
9.1
70
Not enough data
8.8
70
Availability
Not enough data
8.4
62
Not enough data
8.5
66
Not enough data
8.6
68
Performance
Not enough data
8.5
65
Security
Not enough data
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Support
Not enough data
8.7
66
Not enough data
8.9
66
Centralized computation
Not enough data
9.1
27
Localized computation
Not enough data
8.5
28
Statistical Tool
Not enough data
8.7
79
Not enough data
9.0
79
Not enough data
8.8
80
Data Analysis
Not enough data
9.3
79
Not enough data
9.1
80
Decision Making
Not enough data
8.8
80
Not enough data
8.7
78
Not enough data
8.7
80
Not enough data
8.7
78
Generative AI
Not enough data
7.5
51
Not enough data
7.8
51
Marketing Operations
Not enough data
8.8
66
Not enough data
9.2
65
Not enough data
8.9
65
Not enough data
9.4
66
Not enough data
8.8
64
Not enough data
8.5
63
Campaign Activity
Not enough data
9.1
68
Not enough data
9.5
68
Not enough data
8.7
65
Not enough data
9.2
62
Not enough data
8.9
63
Not enough data
9.1
65
Agentic AI - Marketing Analytics
Not enough data
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
API Construction
9.3
78
Not enough data
9.2
75
Not enough data
9.2
73
Not enough data
9.1
78
Not enough data
API Management
9.1
71
Not enough data
8.6
76
Not enough data
9.1
76
Not enough data
8.6
64
Not enough data
9.0
71
Not enough data
Data Integration
9.5
104
Not enough data
9.4
74
Not enough data
9.0
67
Not enough data
Database
Not enough data
8.8
178
Not enough data
8.9
176
Not enough data
8.8
170
Integrations
Not enough data
8.4
139
Not enough data
8.6
136
Platform
Not enough data
8.9
153
Not enough data
8.9
168
Not enough data
8.6
136
Processing
Not enough data
9.3
170
Not enough data
9.1
164
Data Transformation
Not enough data
8.8
288
Not enough data
9.3
296
Connectivity
Not enough data
8.1
256
Not enough data
8.2
254
Not enough data
8.7
283
Not enough data
8.8
274
Operations
Not enough data
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
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
Celigo and Google Cloud BigQuery share no categories
Unique Categories
Celigo is categorized as iPaaS, API Management, API Marketplace, and Electronic Data Interchange (EDI)
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, Data Warehouse, and Data Clean Room
Reviews
Reviewers' Company Size
Celigo
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud BigQuery
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
Retail
14.8%
Computer Software
7.7%
Consumer Goods
7.6%
Information Technology and Services
6.1%
Apparel & Fashion
5.9%
Other
58.0%
Information Technology and Services
16.2%
Computer Software
13.4%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.7%
Alternatives
Discussions
What is the normal implementation timeline?
2 Comments
Official Response from Celigo
Depending on the integration and level of complexity, implementation time can vary. For some customers, they can get started with a custom integration flow...Read more
Are Celigo Integration Apps the same as recipes or accelerators offered by other iPaaS vendors?
2 Comments
Official Response from Celigo
No, they are unique to Celigo. Integration Apps are out-of-the-box Integration applications that contain all the business flows to automate a business...Read more
What integration products does Celigo offer?
2 Comments
Official Response from Celigo
Celigo integrator.io is an intuitive, powerful integration platform (iPaaS). With integrator.io, companies can quickly and easily integrate their cloud...Read 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
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