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Compare Google Cloud BigQuery and Polytomic 
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At a Glance
Market Segments
Enterprise (38.0% of reviews)
Mid-Market (54.3% of reviews)
Entry-Level Pricing
Free
Contact Us
Google Cloud BigQuery
Star Rating
(1,204)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 plansPolytomic
Star Rating
(47)4.8 out of 5
Market Segments
Mid-Market (54.3% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Learn more about PolytomicSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in overall performance and scalability, with users praising its serverless architecture that allows for efficient data analysis without the hassle of managing infrastructure. This makes it particularly appealing for enterprises handling large datasets.
- Users say Polytomic stands out for its exceptional customer support, with many highlighting the team's quick response times and deep knowledge. Reviewers appreciate that their issues are often resolved within 30 minutes, making it a reliable choice for businesses needing immediate assistance.
- According to verified reviews, Google Cloud BigQuery's implementation process is generally smooth, but some users note that it can be complex for those unfamiliar with cloud services. In contrast, Polytomic is described as straightforward and easy to use, which can be beneficial for teams looking for a simpler setup.
- Reviewers mention that while Google Cloud BigQuery offers powerful features like BigQuery ML for machine learning and advanced analytics, some users feel that it may be overkill for smaller projects. Polytomic, however, is praised for its ability to sync data across various platforms like Airtable and Hubspot, making it a great fit for mid-market companies.
- Users highlight that Google Cloud BigQuery's performance in handling large queries is impressive, with many noting its ability to process billions of queries efficiently. On the other hand, Polytomic users appreciate its smooth and reliable data replication capabilities, particularly for CDC-based processes.
- G2 reviewers indicate that while Google Cloud BigQuery has a higher overall satisfaction score, Polytomic's users rate it slightly better in terms of meeting specific workflow needs and ease of administration, suggesting that it may be more adaptable for smaller teams or those with unique requirements.
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
Polytomic
Standard
Contact Us
- Sync to and from databases, warehouses, spreadsheets, apps, and APIs
- Multiple sync destinations
- Live chat support
Free Trial
Google Cloud BigQuery
Free Trial is available
Polytomic
Free Trial is available
Ratings
Meets Requirements
8.8
615
9.6
43
Ease of Use
8.7
630
9.2
42
Ease of Setup
8.8
405
9.0
24
Ease of Admin
8.5
226
9.7
22
Quality of Support
8.4
567
9.9
38
Has the product been a good partner in doing business?
8.6
219
9.9
21
Product Direction (% positive)
9.2
603
9.5
45
Features by Category
Management
8.6
123
8.7
21
8.3
121
8.8
18
Functionality
9.0
121
9.6
28
9.1
125
9.4
25
9.0
125
9.5
28
8.9
124
9.5
29
9.4
124
9.2
26
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
216
|
Verified
Not enough data
8.4
205
|
Verified
Not enough data
8.7
205
|
Verified
Not enough data
Integration
8.6
204
|
Verified
Not enough data
8.7
217
|
Verified
Not enough data
8.6
204
|
Verified
Not enough data
Deployment
7.8
190
|
Verified
Not enough data
9.1
216
|
Verified
Not enough data
Performance
9.1
223
|
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
Development
Not enough data
9.3
10
Not enough data
8.7
5
Not enough data
8.7
5
Not enough data
9.0
10
Not enough data
9.1
9
Not enough data
9.3
7
Not enough data
8.7
5
Management
Not enough data
8.1
9
Not enough data
8.3
5
Not enough data
8.8
10
Not enough data
Not enough data
Not enough data
9.0
5
Security
Not enough data
Not enough data
Not enough data
8.3
6
Not enough data
Not enough data
Integration Options
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
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
Data Management
Not enough data
9.4
13
Not enough data
8.6
12
Not enough data
9.3
10
Not enough data
9.2
16
Not enough data
8.5
11
Functionality
Not enough data
9.1
11
Not enough data
9.4
11
Not enough data
8.7
10
Not enough data
9.0
14
Not enough data
9.2
12
Not enough data
9.7
13
Not enough data
9.6
8
Security
Not enough data
10.0
9
Not enough data
9.6
9
Generative AI
Not enough data
Not enough data
Centralized computation
9.1
27
Not enough data
Localized computation
8.5
28
Not enough data
Statistical Tool
8.7
79
Not enough data
9.0
79
Not enough data
8.8
80
Not enough data
Data Analysis
9.3
79
Not enough data
9.1
80
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
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
Not enough data
Campaign Activity
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
Not enough data
Agentic AI - Marketing Analytics
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
Not enough data
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
154
Not enough data
8.9
168
Not enough data
8.6
136
Not enough data
Processing
9.3
171
Not enough data
9.1
164
Not enough data
Data Transformation
8.8
288
Not enough data
9.3
297
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 Polytomic are categorized as ETL Tools
Unique Categories
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
Polytomic is categorized as Reverse ETL and iPaaS
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Polytomic
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
16.2%
Computer Software
13.4%
Retail
7.1%
Financial Services
6.4%
Marketing and Advertising
5.1%
Other
51.7%
Computer Software
26.1%
Financial Services
13.0%
Venture Capital & Private Equity
8.7%
Information Technology and Services
8.7%
Logistics and Supply Chain
6.5%
Other
37.0%
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
Polytomic has no discussions with answers
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