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Compare Analytica and Google Cloud BigQuery 
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At a Glance
Market Segments
Small-Business (65.6% of reviews)
Enterprise (38.0% of reviews)
Entry-Level Pricing
No pricing available
Free
Analytica
Star Rating
(33)4.8 out of 5
Market Segments
Small-Business (65.6% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about AnalyticaGoogle 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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in performance and scalability, with users praising its serverless architecture that allows for quick data analysis without the hassle of managing infrastructure. This makes it particularly appealing for those handling large datasets.
- Users say Analytica stands out for its intuitive visual interface, which helps users easily understand the structure and logic of their models. This feature is especially beneficial for those who prefer a graphical approach to data modeling and analysis.
- Reviewers mention that Google Cloud BigQuery's pay-as-you-go model simplifies operations, allowing users to focus on data analysis rather than provisioning resources. This flexibility is a significant advantage for teams looking to experiment with larger datasets without upfront costs.
- According to verified reviews, Analytica is noted for its user-friendly design and the ability to produce accurate results quickly. Users appreciate the ease of reviewing analysis results through interactive maps, graphs, and tables, making it a strong choice for those who prioritize usability.
- G2 reviewers highlight that while Google Cloud BigQuery has a higher overall satisfaction score, Analytica receives praise for its advanced computation capabilities and support for intelligent arrays, which allow for effective manipulation of multidimensional data.
- Users report that Google Cloud BigQuery has a larger user base and more recent reviews, indicating a robust community and ongoing support. In contrast, Analytica, while having a smaller user base, is appreciated for its strong customer support and high ratings in areas like ease of setup and quality of assistance.
Pricing
Entry-Level Pricing
Analytica
No pricing availableGoogle 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
Analytica
Free Trial is available
Google Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
9.8
26
8.8
615
Ease of Use
9.8
27
8.7
630
Ease of Setup
9.7
5
8.8
405
Ease of Admin
8.7
5
8.5
226
Quality of Support
9.6
26
8.4
567
Has the product been a good partner in doing business?
8.7
5
8.6
219
Product Direction (% positive)
10.0
27
9.2
603
Features by Category
Management
Not enough data
8.6
123
Not enough data
8.3
121
Functionality
Not enough data
9.0
121
Not enough data
9.1
125
Not enough data
9.0
125
Not enough data
8.9
124
Not enough data
9.4
124
Calculating
9.6
9
Not enough data
10.0
9
Not enough data
Insights
9.6
9
Not enough data
9.8
9
Not enough data
Editing
10.0
9
Not enough data
10.0
9
Not enough data
9.6
9
Not enough data
Functionality
9.6
9
Not enough data
9.6
9
Not enough data
9.8
9
Not enough data
9.4
9
Not enough data
Data Management
Not enough data
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
Integration
Not enough data
8.6
204
|
Verified
Not enough data
8.7
217
|
Verified
Not enough data
8.6
204
|
Verified
Deployment
Not enough data
7.8
190
|
Verified
Not enough data
9.1
216
|
Verified
Performance
Not enough data
9.1
223
|
Verified
Security
Not enough data
8.7
211
|
Verified
Not enough data
9.2
217
|
Verified
Generative AI
Not enough data
7.7
132
Not enough data
7.9
129
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
Model Development
9.8
19
Not enough data
9.7
19
Not enough data
9.8
19
Not enough data
Performance Metrics
9.9
19
Not enough data
10.0
19
Not enough data
Visualizations
9.6
19
Not enough data
9.8
19
Not enough data
9.6
19
Not enough data
Scenario Analysis
9.5
19
Not enough data
9.9
19
Not enough data
9.8
19
Not enough data
Centralized computation
Not enough data
9.1
27
Localized computation
Not enough data
8.5
28
Operational Risk Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Business Resilience
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Agentic AI - Operational Risk Management
Not enough data
Not enough data
Statistical Tool
9.7
22
8.7
79
9.7
21
9.0
79
9.8
22
8.8
80
Data Analysis
9.6
23
9.3
79
9.8
22
9.1
80
Decision Making
9.9
23
8.8
80
9.7
23
8.7
78
9.5
22
8.7
80
9.7
21
8.7
78
Generative AI
Not enough data
7.5
51
Not enough data
7.8
51
Marketing Operations
Not enough data
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
Campaign Activity
Not enough data
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
Agentic AI - Marketing Analytics
Not enough data
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
Database
Not enough data
8.8
178
Not enough data
8.9
176
Not enough data
8.8
170
Integrations
Not enough data
8.4
139
Not enough data
8.6
136
Platform
Not enough data
8.9
154
Not enough data
8.9
168
Not enough data
8.6
136
Processing
Not enough data
9.3
171
Not enough data
9.1
164
Data Transformation
Not enough data
8.8
288
Not enough data
9.3
297
Connectivity
Not enough data
8.1
256
Not enough data
8.2
254
Not enough data
8.7
283
Not enough data
8.8
274
Operations
Not enough data
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
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
Analytica and Google Cloud BigQuery are categorized as Predictive Analytics
Unique Categories
Analytica is categorized as Operational Risk Management, Spreadsheets, and Business Process Simulation
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Data Warehouse, and Data Clean Room
Reviews
Reviewers' Company Size
Analytica
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
31.3%
Computer Software
31.3%
Consulting
3.1%
Research
3.1%
Online Media
3.1%
Other
28.1%
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%
Alternatives
Discussions
What are the features of Analytica?
1 Comment
JM
Easy to use and very powerfulRead more
Analytica has no more discussions with answers
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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