Compare Boomi Data Integration and Google Cloud BigQuery 
At a Glance
Market Segments
Mid-Market (41.2% of reviews)
Enterprise (38.0% of reviews)
Entry-Level Pricing
$0.75 1 Credit
Free
Boomi Data Integration
Star Rating
(121)4.7 out of 5
Market Segments
Mid-Market (41.2% of reviews)
Pros & Cons
Entry-Level Pricing
$0.75 1 Credit
Browse all 3 pricing plansGoogle Cloud BigQuery
Star Rating
(1,225)4.5 out of 5
Market Segments
Enterprise (38.0% 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 overall user satisfaction, boasting a significantly higher G2 Score compared to Boomi Data Integration. Users appreciate its serverless architecture and the ability to focus on SQL without worrying about infrastructure, making data analysis feel smooth and efficient.
- Users say that BigQuery's implementation process is quick and intuitive, allowing for easy onboarding. In contrast, Boomi Data Integration has received less recent feedback, which may indicate challenges in user experience or support during setup.
- Reviewers mention that Google Cloud BigQuery's scalability is a standout feature, with many praising its pay-as-you-go model that simplifies operations and enables experimentation with larger datasets. This flexibility is particularly beneficial for enterprises looking to manage vast amounts of data.
- According to verified reviews, Boomi Data Integration shines in its extensive range of connectors to marketing platforms, allowing users to easily configure reports and automate ETL processes. However, the lack of recent reviews may suggest that its user base is not as active or satisfied as that of BigQuery.
- Users highlight that while both platforms offer strong data transformation capabilities, BigQuery's performance in handling billions of queries efficiently sets it apart. Reviewers note that it is particularly effective for users who require high-speed data processing.
- G2 reviewers indicate that Boomi Data Integration provides excellent customer support, which is a critical factor for many users. However, the overall satisfaction and quality of support ratings for BigQuery are still commendable, suggesting that both platforms have their strengths in this area.
Pricing
Entry-Level Pricing
Boomi Data Integration
Starter
$0.75
1 Credit
For small data and BI teams who need to build data pipelines and manage workflow orchestration.
- One Environment
- Two Users
- Unlimited Data Sources & Destinations
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
Boomi Data Integration
Free Trial is available
Google Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
9.3
107
8.8
627
Ease of Use
9.5
109
8.7
643
Ease of Setup
9.2
55
8.7
417
Ease of Admin
9.1
43
8.5
227
Quality of Support
9.4
94
8.3
573
Has the product been a good partner in doing business?
9.6
41
8.6
221
Product Direction (% positive)
9.3
104
9.3
615
Features by Category
Functionality
9.3
50
Not enough data
9.5
50
Not enough data
9.2
48
Not enough data
8.8
45
Not enough data
9.5
48
Not enough data
8.7
45
Not enough data
Diverse Extraction Points
9.3
50
Not enough data
Management
8.6
67
8.6
121
8.8
59
8.3
119
Functionality
9.6
71
9.0
119
9.1
69
9.1
123
9.5
73
9.0
123
9.5
72
8.9
122
9.3
67
9.3
122
Functionality
9.4
27
Not enough data
9.0
24
Not enough data
9.0
24
Not enough data
8.8
21
Not enough data
Management
9.0
21
Not enough data
9.3
23
Not enough data
8.9
22
Not enough data
8.8
25
Not enough data
Security
9.4
25
Not enough data
Agentic AI - Cloud Migration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Solution Provision
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
8.9
225
|
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
Data Management
9.6
8
Not enough data
8.8
7
Not enough data
9.2
8
Not enough data
9.0
8
Not enough data
9.0
8
Not enough data
Functionality
8.1
7
Not enough data
9.3
7
Not enough data
8.6
6
Not enough data
9.0
8
Not enough data
9.2
8
Not enough data
9.2
8
Not enough data
9.0
7
Not enough data
Security
9.0
7
Not enough data
9.3
7
Not enough data
Generative AI
Not enough data
Not enough data
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
Boomi Data Integration and Google Cloud BigQuery are categorized as ETL Tools
Unique Categories
Boomi Data Integration is categorized as Reverse ETL, Data Extraction, Cloud Migration, and Data Replication
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
Boomi Data Integration
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
Information Technology and Services
21.0%
Computer Software
12.6%
Marketing and Advertising
11.8%
Financial Services
10.9%
Consulting
5.0%
Other
38.7%
Information Technology and Services
16.1%
Computer Software
13.5%
Retail
7.0%
Financial Services
6.5%
Marketing and Advertising
5.2%
Other
51.8%
Discussions
What is the use of Rivery?
2 Comments
ON
The main uses are:
1. API connector - With more than 100 API's connections out of the box, it will save you a lot of time connecting to them by yourself....Read more
What does Rivery do?
1 Comment
AP
Rivery helps data engineers and data analysts to easily integrate all of their data in the cloud. This includes built in connectors for all data sources...Read more
How much does Rivery cost?
1 Comment
AP
Rivery's pricing is based on usage alone. All the details are listed here: https://rivery.io/pricing/ 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
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
