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Compare Amazon Forecast and Google Cloud BigQuery 
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At a Glance
Market Segments
Small-Business (53.1% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
No pricing available
Free
Amazon Forecast
Star Rating
(81)4.3 out of 5
Market Segments
Small-Business (53.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon ForecastGoogle 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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in data integration with a score of 9.0, allowing seamless connections to various data sources, while Amazon Forecast, with a score of 8.7, is noted for its strong data mining capabilities, making it easier to extract insights from historical data.
- Reviewers mention that Google Cloud BigQuery's real-time analytics feature, rated at 8.8, provides immediate insights, which is crucial for businesses needing timely data, whereas Amazon Forecast's predictive analytics, rated at 9.0, is highlighted for its ability to generate accurate forecasts based on historical trends.
- G2 users indicate that Google Cloud BigQuery's ease of setup, rated at 8.6, is a significant advantage, as it allows users to get started quickly, while Amazon Forecast's ease of use, rated at 8.5, is appreciated but slightly less favorable in comparison.
- Reviewers say that Google Cloud BigQuery's centralized computation capabilities, particularly its data querying feature with a score of 9.3, are superior, enabling users to perform complex queries efficiently, while Amazon Forecast's modeling capabilities, rated at 8.1, are seen as less robust in handling large datasets.
- Users on G2 report that Google Cloud BigQuery's data quality score of 8.8 is a strong point, ensuring reliable data for analysis, while Amazon Forecast's data security, rated at 9.1, is praised for its robust measures, making it a preferred choice for businesses prioritizing data protection.
- Reviewers mention that Google Cloud BigQuery's multi-user access feature, rated at 9.5, facilitates collaboration among teams, which is essential for enterprise environments, while Amazon Forecast's campaign insights, rated at 8.9, are beneficial for marketing operations but may not offer the same level of collaborative functionality.
Pricing
Entry-Level Pricing
Amazon Forecast
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
Amazon Forecast
No trial information availableGoogle Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
8.9
65
8.8
612
Ease of Use
8.5
67
8.7
626
Ease of Setup
8.0
23
8.8
401
Ease of Admin
7.9
22
8.5
224
Quality of Support
8.8
66
8.4
564
Has the product been a good partner in doing business?
8.9
22
8.7
217
Product Direction (% positive)
8.4
65
9.2
600
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
124
Not enough data
9.0
124
Not enough data
8.9
123
Not enough data
9.4
124
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
215
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.7
205
|
Verified
Integration
Not enough data
8.6
204
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.6
204
|
Verified
Deployment
Not enough data
7.8
190
|
Verified
Not enough data
9.1
215
|
Verified
Performance
Not enough data
9.1
220
|
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
Centralized computation
Not enough data
9.1
27
Localized computation
Not enough data
8.5
28
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
8.4
28
8.7
78
8.7
26
9.0
79
8.6
30
8.8
79
Data Analysis
8.8
32
9.3
78
8.2
30
9.1
79
Decision Making
8.1
28
8.8
80
8.8
28
8.7
78
8.6
29
8.7
80
8.6
28
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
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
Campaign Activity
Not enough data
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
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
153
Not enough data
8.9
168
Not enough data
8.6
136
Processing
Not enough data
9.3
170
Not enough data
9.1
164
Data Transformation
Not enough data
8.8
288
Not enough data
9.3
295
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
Amazon Forecast and Google Cloud BigQuery are categorized as Predictive Analytics
Unique Categories
Amazon Forecast is categorized as Machine Learning and Time Series Intelligence
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
Amazon Forecast
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
Computer Software
21.0%
Information Technology and Services
14.8%
Retail
7.4%
Financial Services
6.2%
Hospital & Health Care
3.7%
Other
46.9%
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%
Alternatives
Discussions
Amazon Forecast has no discussions with answers
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
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