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At a Glance
Market Segments
Mid-Market (56.6% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
Free
Free
Fivetran
Star Rating
(445)4.2 out of 5
Market Segments
Mid-Market (56.6% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 4 pricing plansGoogle 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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in scalability, scoring 9.2, which allows businesses to handle large datasets efficiently. Reviewers mention that its ability to scale seamlessly is a significant advantage for enterprises with growing data needs.
- Reviewers mention that Fivetran shines in ease of setup, scoring 9.1, making it a preferred choice for mid-market companies looking for quick deployment. Users on G2 appreciate the straightforward integration process with various data sources.
- Users say that Google Cloud BigQuery offers superior transformation capabilities, scoring 8.9, which is highlighted by its robust SQL capabilities and support for complex queries. Reviewers mention that this feature is crucial for data analysts needing in-depth insights.
- G2 users report that Fivetran provides excellent automation features, scoring 8.9, which simplifies data pipeline management. Reviewers mention that its automated data syncing saves time and reduces manual errors, making it ideal for teams with limited resources.
- Reviewers mention that Google Cloud BigQuery has a strong product direction, with a positive score of 9.3, indicating a commitment to continuous improvement and innovation. Users appreciate the regular updates and new features that enhance functionality.
- Users on G2 report that while both products offer free entry-level pricing, Google Cloud BigQuery's extensive documentation and community support make it easier for new users to get started, enhancing the overall user experience compared to Fivetran.
Pricing
Entry-Level Pricing
Fivetran
Free Plan
Free
For individuals automating ELT for small volumes of data.
- Access Standard Plan features, free up to 500,000 monthly active rows (MAR)
- Commitment free: No credit card required
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
Fivetran
Free Trial is available
Google Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
8.4
320
8.8
612
Ease of Use
9.0
326
8.7
626
Ease of Setup
9.1
246
8.8
401
Ease of Admin
8.8
211
8.5
224
Quality of Support
8.0
299
8.4
564
Has the product been a good partner in doing business?
8.3
207
8.7
217
Product Direction (% positive)
7.7
283
9.2
600
Features by Category
Functionality
8.4
151
Not enough data
8.5
145
Not enough data
8.4
129
Not enough data
7.1
116
Not enough data
8.7
138
Not enough data
6.4
111
Not enough data
Diverse Extraction Points
8.4
151
Not enough data
Management
7.5
98
8.6
123
7.1
92
8.3
121
Functionality
8.9
120
9.0
121
7.8
109
9.1
124
8.9
118
9.0
124
8.9
116
8.9
123
8.5
115
9.4
124
Management
7.2
66
Not enough data
8.2
59
Not enough data
8.5
77
Not enough data
8.0
82
Not enough data
Solution Provision
7.3
55
Not enough data
8.3
71
Not enough data
7.6
54
Not enough data
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
215
|
Verified
Performance
Not enough data
9.1
220
|
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
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
78
Not enough data
9.0
79
Not enough data
8.8
79
Data Analysis
Not enough data
9.3
78
Not enough data
9.1
79
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
Management
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
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Marketing Operations
Not enough data
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
Campaign Activity
Not enough data
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
Agentic AI - Marketing Analytics
Not enough data
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
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
295
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
Fivetran and Google Cloud BigQuery are categorized as ETL Tools
Unique Categories
Fivetran is categorized as Data Replication and Data Extraction
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Reviews
Reviewers' Company Size
Fivetran
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
Computer Software
14.9%
Information Technology and Services
13.5%
Financial Services
9.3%
Retail
5.4%
Marketing and Advertising
5.4%
Other
51.5%
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%
Alternatives
Discussions
Is Fivetran an ETL tool?
2 Comments
NV
Fivetran is an ELT Tool, specifically for Extracting the data from source and Loading the data into the Destination. This tool works in conjunction with...Read more
Can I reuse a google sheet's name that I just deleted?
1 Comment
JL
Hi Gabriel,
Thanks for reaching out. Yes, this should work. Please let us know if you run into any issues.
Cheers,
Joseph Read more
Can Fivetran implement a feature to auto download / refresh data into a spreadsheet ? That would be great.
1 Comment
JL
Hi George,
Thanks for reaching out. All feature requests are logged via our Support Portal. Please submit your feature request here:...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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