Compare Fivetran and Google Cloud BigQuery 
At a Glance
Market Segments
Mid-Market (58.9% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
Free
Free
Fivetran
Star Rating
(782)4.3 out of 5
Market Segments
Mid-Market (58.9% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 4 pricing plansGoogle Cloud BigQuery
Star Rating
(1,224)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 5 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in handling large datasets with impressive speed and scalability, making it a top choice for enterprises. Users appreciate its seamless SQL integration and the built-in SQL query tool, which simplifies data querying.
- Users say that Fivetran stands out for its user-friendly interface and ease of setup, with many highlighting the pre-defined schemas for various products that facilitate quick reporting. This makes it particularly appealing for mid-market companies looking for straightforward data integration.
- Reviewers mention that Google Cloud BigQuery's architecture allows for no server or database maintenance, which significantly reduces the operational burden on teams. This feature is particularly valued by users who want to focus on data analysis rather than infrastructure management.
- According to verified reviews, Fivetran's extensive library of pre-built connectors simplifies the data loading process, allowing users to integrate data with just a click. This ease of use is a major advantage for teams that prioritize quick implementation.
- G2 reviewers highlight that while Google Cloud BigQuery has a slightly lower ease of use rating, its powerful features and integration capabilities with the Google Cloud ecosystem make it a robust option for organizations that require advanced data processing.
- Users note that Fivetran's community support and resources are beneficial for troubleshooting and learning, which can enhance the overall user experience, especially for those new to data integration tools.
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
8.6
576
8.8
626
Ease of Use
9.0
584
8.7
642
Ease of Setup
9.1
365
8.7
416
Ease of Admin
8.8
326
8.5
227
Quality of Support
8.5
526
8.3
573
Has the product been a good partner in doing business?
8.7
320
8.6
220
Product Direction (% positive)
8.3
522
9.3
614
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
7.7
150
8.6
121
7.4
145
8.3
119
Functionality
8.8
156
9.0
119
8.1
171
9.1
123
9.0
191
9.0
123
9.0
189
8.9
122
8.6
186
9.3
122
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
224
|
Verified
Not enough data
8.3
210
|
Verified
Not enough data
8.9
215
|
Verified
Not enough data
8.6
219
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.6
201
|
Verified
Integration
Not enough data
8.5
202
|
Verified
Not enough data
8.6
214
|
Verified
Not enough data
8.6
201
|
Verified
Deployment
Not enough data
7.7
186
|
Verified
Not enough data
9.1
223
|
Verified
Performance
Not enough data
9.1
233
|
Verified
Security
Not enough data
8.7
208
|
Verified
Not enough data
9.2
214
|
Verified
Generative AI
Not enough data
7.6
127
Not enough data
7.8
124
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
78
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
79
Not enough data
8.7
77
Not enough data
8.7
79
Not enough data
8.7
77
Generative AI
Not enough data
7.5
50
Not enough data
7.8
50
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
65
Not enough data
9.2
64
Not enough data
8.9
64
Not enough data
9.4
65
Not enough data
8.8
63
Not enough data
8.4
62
Campaign Activity
Not enough data
9.1
67
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
61
Not enough data
8.9
62
Not enough data
9.0
64
Agentic AI - Marketing Analytics
Not enough data
8.7
15
Not enough data
9.6
15
Not enough data
8.2
15
Database
Not enough data
8.8
175
Not enough data
8.9
173
Not enough data
8.7
167
Integrations
Not enough data
8.4
136
Not enough data
8.5
133
Platform
Not enough data
8.9
151
Not enough data
8.9
165
Not enough data
8.5
133
Processing
Not enough data
9.2
168
Not enough data
9.1
161
Data Transformation
Not enough data
8.8
283
Not enough data
9.3
293
Connectivity
Not enough data
8.1
251
Not enough data
8.2
249
Not enough data
8.7
278
Not enough data
8.7
269
Operations
Not enough data
8.5
279
Not enough data
8.7
277
Not enough data
8.3
255
Not enough data
8.4
262
Not enough data
8.5
254
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
22.2%
Information Technology and Services
17.2%
Financial Services
8.7%
Retail
5.0%
Marketing and Advertising
3.7%
Other
43.3%
Information Technology and Services
16.1%
Computer Software
13.5%
Retail
7.0%
Financial Services
6.5%
Marketing and Advertising
5.2%
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 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
Do plan to partner with smaller software companies to add to your selection of available connectors?
1 Comment
MP
Did you already asked their support? They offer a also cloud functions and other solutions to connect also other sources.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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