Compare Google Cloud BigQuery and Panoply 
At a Glance
Market Segments
Enterprise (38.0% of reviews)
Small-Business (46.8% of reviews)
Entry-Level Pricing
Free
Free Trial
Google Cloud BigQuery
Star Rating
(1,235)4.5 out of 5
Market Segments
Enterprise (38.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 5 pricing plansPanoply
Star Rating
(83)4.5 out of 5
Market Segments
Small-Business (46.8% 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.
- G2 reviewers report that Google Cloud BigQuery excels in overall user satisfaction, boasting a significantly higher G2 Score compared to Panoply. Users appreciate its serverless architecture and the ability to handle large datasets efficiently, allowing them to focus on data analysis without worrying about infrastructure.
- Users say that Panoply stands out for its exceptional customer support, with many highlighting the helpfulness of the customer success team. Reviewers mention that the support staff, like Ryan and Emerson, are always available to assist, making the platform feel more user-friendly and approachable.
- According to verified reviews, Google Cloud BigQuery's implementation process is praised for its speed and efficiency. Users note that the pay-as-you-go model simplifies operations, enabling them to experiment with larger datasets without the need for extensive setup.
- Reviewers mention that while Panoply is intuitive and easy to use, it may not match the scalability and performance of BigQuery for larger enterprises. Users have found Panoply effective for small business analytics, but some express a desire for more robust features as their data needs grow.
- G2 reviewers highlight that Google Cloud BigQuery offers advanced features like BigQuery ML and AI tooling integration, which enhance its data analytics capabilities. Users appreciate these tools for enabling deeper insights and more complex analyses, setting it apart from competitors.
- Users report that while Panoply provides a solid user experience, it faces challenges in areas like data integration and advanced analytics compared to BigQuery. Reviewers have noted that Panoply's strengths lie in its ease of use and live support, but they seek more comprehensive data handling capabilities.
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
634
8.8
63
Ease of Use
8.7
651
8.9
65
Ease of Setup
8.7
424
9.4
41
Ease of Admin
8.5
225
9.3
37
Quality of Support
8.3
577
9.3
63
Has the product been a good partner in doing business?
8.6
219
9.5
39
Product Direction (% positive)
9.3
619
8.0
59
Features by Category
Management
8.6
122
8.3
13
8.3
120
7.6
11
Functionality
9.0
121
9.4
16
9.1
124
8.6
13
9.0
125
9.8
16
8.9
124
8.8
15
9.3
123
8.8
15
Data Management
8.9
228
|
Verified
9.1
22
|
Verified
8.3
210
|
Verified
8.7
21
|
Verified
8.9
217
|
Verified
8.9
22
|
Verified
8.6
221
|
Verified
7.4
19
|
Verified
8.3
204
|
Verified
6.3
15
|
Verified
8.6
201
|
Verified
7.0
15
|
Verified
Integration
8.5
205
|
Verified
5.6
15
|
Verified
8.6
217
|
Verified
9.0
23
|
Verified
8.6
201
|
Verified
7.8
16
|
Verified
Deployment
7.8
187
|
Verified
7.1
15
|
Verified
9.1
227
|
Verified
8.3
22
|
Verified
Performance
9.2
239
|
Verified
8.1
23
|
Verified
Security
8.7
209
|
Verified
7.8
20
|
Verified
9.1
215
|
Verified
8.7
18
|
Verified
Generative AI
7.6
127
5.4
9
7.8
124
5.0
9
Storage
9.1
69
Not enough data
8.7
69
Not enough data
Availability
8.3
61
Not enough data
8.5
65
Not enough data
8.6
67
Not enough data
Performance
8.5
64
Not enough data
Security
8.7
69
Not enough data
8.8
68
Not enough data
8.4
68
Not enough data
8.6
64
Not enough data
Support
8.7
65
Not enough data
8.8
65
Not enough data
Centralized computation
9.0
26
Not enough data
Localized computation
8.5
27
Not enough data
Statistical Tool
8.7
78
Not enough data
9.0
78
Not enough data
8.8
80
Not enough data
Data Analysis
9.2
79
Not enough data
9.1
79
Not enough data
Decision Making
8.8
80
Not enough data
8.7
77
Not enough data
8.7
80
Not enough data
8.7
77
Not enough data
Generative AI
7.5
50
Not enough data
7.8
50
Not enough data
Marketing Operations
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
Not enough data
Campaign Activity
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
Not enough data
Agentic AI - Marketing Analytics
8.7
15
Not enough data
9.6
15
Not enough data
8.2
15
Not enough data
Database
8.8
175
Not enough data
8.9
173
Not enough data
8.7
167
Not enough data
Integrations
8.4
136
Not enough data
8.5
133
Not enough data
Platform
8.8
150
Not enough data
8.9
165
Not enough data
8.5
133
Not enough data
Processing
9.2
167
Not enough data
9.1
161
Not enough data
Data Transformation
8.8
284
Not enough data
9.3
292
Not enough data
Connectivity
8.1
251
Not enough data
8.2
249
Not enough data
8.7
278
Not enough data
8.7
270
Not enough data
Operations
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
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
16.0%
Computer Software
13.5%
Retail
7.0%
Financial Services
6.6%
Marketing and Advertising
5.2%
Other
51.7%
Information Technology and Services
8.9%
Marketing and Advertising
7.6%
Computer Software
7.6%
Apparel & Fashion
6.3%
Retail
5.1%
Other
64.6%
Alternatives
Discussions
Is Big Query free?
3 Comments
SC
my cloud software store Read more
Is BigQuery part of Google Cloud Platform?
2 Comments
SG
Yes, bigquery is part of google cloud platform.Read more
What is Google BigQuery based on?
1 Comment
AN
Dremel: The Execution Engine
Colossus: Distributed Storage
Borg: Compute
Jupiter: The Network
Read more
What does Panoply do?
1 Comment
DL
Panoply provides a managed data warehouse and no-code ELT data connectors all in one easy-to-use platform. Try it out today!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
How do I use panoply software?
1 Comment
Official Response from Panoply
Panoply is super easy to use; you can try our interactive demo to see how the platform works: https://panoply.io/interactive-demo/
You can also get...Read more
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