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Compare Google Cloud BigQuery and Panoply 
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At a Glance
Market Segments
Enterprise (38.1% of reviews)
Small-Business (47.4% of reviews)
Entry-Level Pricing
Free
Free Trial
Google 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 plansPanoply
Star Rating
(82)4.5 out of 5
Market Segments
Small-Business (47.4% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Free Trial
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 with a score of 9.3, allowing businesses to handle large datasets efficiently, while Panoply, with a score of 8.8, is noted for its ease of setup, making it a preferred choice for small businesses looking for quick deployment.
- Reviewers mention that Google Cloud BigQuery's built-in data analytics feature scores 8.6, providing robust analytical capabilities, whereas Panoply's score of 7.4 indicates that users find its analytics less comprehensive, particularly in advanced data processing tasks.
- G2 users highlight that Panoply shines in ease of administration with a score of 9.3, making it user-friendly for teams without extensive technical expertise, while Google Cloud BigQuery's score of 8.5 suggests a steeper learning curve for new users.
- Users on G2 emphasize that Google Cloud BigQuery's data integration capabilities score 9.0, allowing seamless connections with various data sources, while Panoply's score of 9.1 indicates strong integration as well, particularly with BI tools, making it versatile for reporting needs.
- Reviewers say that Google Cloud BigQuery's data security features, scoring 9.1, are robust, with strong encryption and role-based authorization, while Panoply, with a score of 8.7, offers solid security but is perceived as slightly less comprehensive in governance features.
- Users report that Panoply's loading functionality scores 9.7, making it exceptionally fast for data ingestion, while Google Cloud BigQuery, with a score of 8.9, is still efficient but may not match the speed that Panoply offers for smaller datasets.
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
Panoply
Proof of Value
Free Trial
Use the platform for free for 21 days
- Managed data warehouse included
- Use of all Panoply connectors
- Unlimited users
Free Trial
Google Cloud BigQuery
Free Trial is available
Panoply
Free Trial is available
Ratings
Meets Requirements
8.8
612
8.8
63
Ease of Use
8.7
626
8.9
64
Ease of Setup
8.8
401
9.4
39
Ease of Admin
8.5
224
9.3
37
Quality of Support
8.4
564
9.3
63
Has the product been a good partner in doing business?
8.7
217
9.5
39
Product Direction (% positive)
9.2
600
8.0
58
Features by Category
Management
8.6
123
8.3
13
8.3
121
7.6
11
Functionality
9.0
121
9.2
16
9.1
124
8.6
13
9.0
124
9.7
16
8.9
123
8.8
15
9.4
124
8.8
15
Data Management
8.9
223
|
Verified
9.1
22
|
Verified
8.3
214
|
Verified
8.7
21
|
Verified
8.9
219
|
Verified
8.9
22
|
Verified
8.6
215
|
Verified
7.4
19
|
Verified
8.3
204
|
Verified
6.3
15
|
Verified
8.7
205
|
Verified
7.0
15
|
Verified
Integration
8.6
204
|
Verified
5.6
15
|
Verified
8.6
216
|
Verified
8.9
22
|
Verified
8.6
204
|
Verified
7.8
16
|
Verified
Deployment
7.8
190
|
Verified
7.1
15
|
Verified
9.1
215
|
Verified
8.3
22
|
Verified
Performance
9.1
220
|
Verified
8.1
23
|
Verified
Security
8.7
211
|
Verified
7.8
20
|
Verified
9.2
217
|
Verified
8.7
18
|
Verified
Generative AI
7.7
132
5.4
9
7.9
129
5.0
9
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
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
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
Not enough data
Campaign Activity
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
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
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
295
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 Panoply are categorized as ETL Tools and Data Warehouse
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, and Data Clean Room
Panoply has no unique categories
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Panoply
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
13.5%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.7%
Information Technology and Services
9.0%
Marketing and Advertising
7.7%
Computer Software
7.7%
Retail
5.1%
Apparel & Fashion
5.1%
Other
65.4%
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
I have some questions about specific features, who should I contact?
1 Comment
Official Response from Panoply
We'd love to hear from you. Feel free to send us a message here: https://panoply.io/company/contact/Read more
I am already using an ETL service can I still connect to Panoply?
1 Comment
Official Response from Panoply
Yes! Our managed data warehouse is the best way to get all of your business data in one place.Read more
How much does Panoply cost?
1 Comment
Official Response from Panoply
Annual contract: our usage-based pricing starts at $399/month for 50 GiB Query Bytes, and scales up to $1719/month for 5000 GiB Query Bytes
Monthly...Read more
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