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At a Glance
Market Segments
Enterprise (38.0% of reviews)
Small-Business (55.8% of reviews)
Entry-Level Pricing
Free
Starting at €29.00 1 user Per Month
Google Cloud BigQuery
Star Rating
(1,203)4.5 out of 5
Market Segments
Enterprise (38.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansSupermetrics
Star Rating
(811)4.4 out of 5
Market Segments
Small-Business (55.8% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at €29.00 1 user Per Month
Free Trial is available
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in data integration with a score of 9.0, allowing seamless connections to various data sources, while Supermetrics, with a score of 8.7, is noted for its strong data collection capabilities but may not integrate as broadly.
- Reviewers mention that Google Cloud BigQuery's real-time analytics feature, scoring 8.8, provides immediate insights, which is crucial for businesses needing timely data, whereas Supermetrics, with a score of 8.6, offers solid reporting but lacks the same level of immediacy.
- G2 users highlight that Google Cloud BigQuery's scalability (9.3) is a significant advantage for enterprises handling large datasets, while Supermetrics (8.6) is more suited for small businesses, which may limit its effectiveness for larger operations.
- Users on G2 report that Google Cloud BigQuery's data quality (8.8) is superior, ensuring accurate and reliable data analysis, while Supermetrics (8.0) has received feedback indicating occasional issues with data accuracy.
- Reviewers say that Google Cloud BigQuery's custom reports and dashboards (8.7) are highly customizable, allowing users to tailor their analytics, whereas Supermetrics (8.9) offers good reporting features but lacks the same depth of customization.
- Users report that Google Cloud BigQuery's machine learning integration (8.5) is a standout feature, enabling advanced analytics capabilities, while Supermetrics does not offer comparable machine learning functionalities, which may be a drawback for data-driven organizations.
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
Supermetrics
Supermetrics for Looker Studio
Starting at €29.00
1 user Per Month
Create interactive cross-channel reports in Google Looker Studio (formerly Data Studio) by bringing in data from Facebook, HubSpot, Instagram, and more.
- Starting at 1 user
- Starting at 4 data sources
- Flexibly add data sources as you go
Free Trial
Google Cloud BigQuery
Free Trial is available
Supermetrics
Free Trial is available
Ratings
Meets Requirements
8.8
614
8.5
616
Ease of Use
8.7
628
8.2
624
Ease of Setup
8.8
403
8.2
411
Ease of Admin
8.5
224
8.0
375
Quality of Support
8.4
566
7.8
558
Has the product been a good partner in doing business?
8.7
217
8.2
370
Product Direction (% positive)
9.2
602
7.9
575
Features by Category
Metrics
Not enough data
8.6
310
Not enough data
8.3
291
Not enough data
8.1
262
Not enough data
8.4
291
Not enough data
8.0
280
Not enough data
7.9
250
Not enough data
8.0
250
Not enough data
8.6
322
Not enough data
7.8
268
Reporting
Not enough data
8.2
310
Not enough data
7.9
278
Not enough data
8.4
304
Not enough data
8.1
292
Not enough data
7.6
251
Not enough data
Feature Not Available
Not enough data
8.7
326
Other
Not enough data
8.2
271
Not enough data
7.9
241
Not enough data
7.2
218
Not enough data
8.6
317
Not enough data
8.4
267
Not enough data
7.2
207
Not enough data
7.4
215
Agentic AI - Digital Analytics
Not enough data
6.3
10
Not enough data
7.0
10
Not enough data
6.7
10
Not enough data
6.8
10
Administration
Not enough data
8.3
274
Not enough data
7.5
213
Not enough data
8.1
313
Not enough data
8.0
295
Management
8.6
123
8.6
67
8.3
121
8.1
57
Functionality
9.0
121
8.7
58
9.1
124
8.2
62
9.0
124
8.2
61
8.9
123
8.5
64
9.4
124
Feature Not Available
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
221
|
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
Agentic AI - Google Workspace for Marketing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
8.2
312
|
Verified
9.2
65
8.7
355
|
Verified
8.9
65
7.8
281
|
Verified
9.4
66
7.9
298
|
Verified
8.8
64
8.0
160
8.5
63
Feature Not Available
Campaign Activity
9.1
68
8.6
348
|
Verified
9.5
68
8.9
379
|
Verified
8.7
65
8.0
273
|
Verified
9.2
62
8.3
324
|
Verified
8.9
63
7.9
273
|
Verified
9.1
65
Feature Not Available
Agentic AI - Marketing Analytics
8.8
16
6.5
12
9.6
16
7.0
14
8.3
16
6.3
12
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
296
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 Supermetrics are categorized as ETL Tools and Marketing Analytics
Unique Categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, Big Data Processing and Distribution, Big Data Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Supermetrics is categorized as Google Workspace for Marketing and Digital Analytics
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Supermetrics
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
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.7%
Marketing and Advertising
53.6%
Retail
5.1%
Computer Software
3.1%
Information Technology and Services
2.3%
Online Media
1.9%
Other
34.0%
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
Is there a way of speeding up Data Studio reports with large data volumes?
2 Comments
FB
Hi,
If you use Supermetrics for google sheet, you may change your data granularity working with pivot table and use this pivot table as data sources. The...Read more
What is the cadence in which you add new connection types and is there a way to get notifications of when these happen in my industry?
2 Comments
AC
Hey Tyson,
We're constantly releasing new data source connectors. For example, during Q1 2022 we're releasing 14 new connectors. We typically inform about...Read more
Will organic Twitter ever be added to the plans?
1 Comment
AC
Hi there,
We currently offer two connectors providing access to organic data – Twitter Premium and Twitter Public Data.
The Twitter Premium connector...Read more
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