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Compare Google Cloud BigQuery and SAP Datasphere 
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At a Glance
Market Segments
Enterprise (38.1% of reviews)
Enterprise (40.6% of reviews)
Entry-Level Pricing
Free
Free Trial 0 Visit the SAP Datasphere Pricing page for packages and pricing information.
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 plansSAP Datasphere
Star Rating
(110)4.3 out of 5
Market Segments
Enterprise (40.6% of reviews)
Pros & Cons
Entry-Level Pricing
Free Trial 0 Visit the SAP Datasphere Pricing page for packages and pricing information.
Free Trial is available
Learn more about SAP DatasphereSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in data security with a score of 9.1, highlighting its robust encryption and compliance features, while SAP Datasphere, with a score of 8.7, is noted for its security but lacks some advanced features that BigQuery offers.
- Reviewers mention that Google Cloud BigQuery's scalability is a standout feature, scoring 9.2, which allows businesses to handle large datasets effortlessly. In contrast, SAP Datasphere, scoring 8.4, is seen as less flexible in scaling operations for enterprise-level data needs.
- Users on G2 say that Google Cloud BigQuery's data integration capabilities, scoring 8.9, are superior, particularly with its seamless connections to various data sources. SAP Datasphere, with a score of 8.6, is effective but has been reported to have some limitations in integrating with non-SAP systems.
- Reviewers mention that Google Cloud BigQuery's built-in data analytics features, scoring 8.6, provide powerful insights directly within the platform, while SAP Datasphere, scoring 8.1, is perceived as lacking in this area, requiring additional tools for comprehensive analytics.
- Users say that Google Cloud BigQuery's ease of use is a significant advantage, with a score of 8.7, making it accessible for users with varying technical skills. SAP Datasphere, scoring 8.3, is noted for its user-friendly interface but has a steeper learning curve for advanced functionalities.
- G2 users report that Google Cloud BigQuery's AI/ML integration features, scoring 8.4, are highly effective, allowing for advanced machine learning capabilities directly within the platform. SAP Datasphere, with a score of 7.8, is seen as less robust in this area, limiting users' ability to leverage AI tools effectively.
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
SAP Datasphere
Visit the SAP Datasphere Pricing page for packages and pricing information.
Free Trial
0 Visit the SAP Datasphere Pricing page for packages and pricing information.
- https://www.sap.com/products/technology-platform/datasphere/trial.html
Free Trial
Google Cloud BigQuery
Free Trial is available
SAP Datasphere
Free Trial is available
Ratings
Meets Requirements
8.8
612
8.7
97
Ease of Use
8.7
626
8.2
105
Ease of Setup
8.8
401
7.9
88
Ease of Admin
8.5
224
8.5
37
Quality of Support
8.4
564
8.5
95
Has the product been a good partner in doing business?
8.7
217
8.4
39
Product Direction (% positive)
9.2
600
9.6
92
Features by Category
Management
8.6
123
Not enough data
8.3
121
Not enough data
Functionality
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
Not enough data
Data Management
Not enough data
8.4
15
Not enough data
8.1
15
Not enough data
8.1
15
Not enough data
8.0
15
Analytics
Not enough data
8.4
15
Security
Not enough data
8.0
15
Not enough data
7.8
15
Not enough data
8.0
15
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Fabric
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
Data Management
8.9
223
|
Verified
8.6
79
8.3
214
|
Verified
8.3
77
8.9
219
|
Verified
Feature Not Available
8.6
215
|
Verified
8.2
78
8.3
204
|
Verified
7.8
76
8.7
205
|
Verified
8.1
76
Integration
8.6
204
|
Verified
7.8
75
8.6
216
|
Verified
8.2
78
8.6
204
|
Verified
8.1
75
Deployment
7.8
190
|
Verified
Feature Not Available
9.1
215
|
Verified
8.4
77
Performance
9.1
220
|
Verified
8.4
77
Security
8.7
211
|
Verified
8.4
76
9.2
217
|
Verified
8.7
77
Generative AI
7.7
132
7.1
28
7.9
129
6.7
27
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 SAP Datasphere are categorized as Data Warehouse
Unique Categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Predictive Analytics, and Data Clean Room
SAP Datasphere is categorized as Data Fabric
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAP Datasphere
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
12.3%
Computer Software
12.3%
Consulting
8.5%
Financial Services
6.6%
Business Supplies and Equipment
3.8%
Other
56.6%
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
What is SAP Data Warehouse Cloud used for?
1 Comment
PK
In simple terms, SAP Data warehouse by its definition analyzes large set of data and provides insights. Typical competitors include Amazon Redshift,...Read more
SAP Datasphere has no more discussions with answers
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