Compare Google Cloud BigQuery and SAP Datasphere 
At a Glance
Market Segments
Enterprise (38.1% of reviews)
Enterprise (40.3% 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
(1,224)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 5 pricing plansSAP Datasphere
Star Rating
(125)4.2 out of 5
Market Segments
Enterprise (40.3% 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.
- G2 reviewers report that Google Cloud BigQuery excels in user satisfaction, boasting a significantly higher overall score compared to SAP Datasphere. Users appreciate its serverless architecture and the ability to focus on SQL without worrying about infrastructure, making data analysis feel smooth and efficient.
- According to verified reviews, Google Cloud BigQuery's implementation process is praised for its simplicity and speed. Users highlight the pay-as-you-go model that allows for experimentation with larger datasets without the need for provisioning clusters, which is a major advantage over SAP Datasphere.
- Reviewers mention that while SAP Datasphere offers good integration capabilities, particularly with automation frameworks like Python and Jenkins, it does not match the overall performance and user experience of BigQuery. Users appreciate the seamless connectivity to both SAP and non-SAP systems, but some find it less intuitive than BigQuery.
- Users say that Google Cloud BigQuery's ease of use is a standout feature, with many noting its ability to handle billions of queries efficiently. In contrast, SAP Datasphere users report a more complex setup process, which can hinder quick adoption and daily usability.
- Reviewers highlight that both platforms provide solid data governance and security features, but Google Cloud BigQuery stands out with its higher scores in data security and cloud capabilities. Users feel more confident in BigQuery's ability to protect their data and scale effectively.
- According to recent feedback, while SAP Datasphere allows for the creation of business-friendly semantic models with low-code options, it still falls short in comparison to BigQuery's advanced analytics capabilities, such as BigQuery ML and AI tooling integration, which users find particularly beneficial for data-driven decision-making.
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
625
8.6
105
Ease of Use
8.7
641
8.1
114
Ease of Setup
8.7
415
7.8
95
Ease of Admin
8.5
227
8.3
38
Quality of Support
8.3
572
8.4
103
Has the product been a good partner in doing business?
8.6
220
8.4
40
Product Direction (% positive)
9.3
613
9.5
100
Features by Category
Management
8.6
121
Not enough data
8.3
119
Not enough data
Functionality
9.0
119
Not enough data
9.1
123
Not enough data
9.0
123
Not enough data
8.9
122
Not enough data
9.3
122
Not enough data
Data Management
Not enough data
8.5
18
Not enough data
8.2
16
Not enough data
8.3
17
Not enough data
8.0
17
Analytics
Not enough data
8.6
18
Security
Not enough data
8.1
16
Not enough data
8.0
17
Not enough data
8.1
16
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
8.7
84
8.3
210
|
Verified
8.3
78
8.9
215
|
Verified
Feature Not Available
8.6
218
|
Verified
8.2
79
8.3
204
|
Verified
7.8
76
8.6
201
|
Verified
8.1
76
Integration
8.5
202
|
Verified
7.8
75
8.6
214
|
Verified
8.3
81
8.6
201
|
Verified
8.1
75
Deployment
7.7
186
|
Verified
Feature Not Available
9.1
222
|
Verified
8.5
80
Performance
9.1
232
|
Verified
8.3
81
Security
8.7
208
|
Verified
8.4
78
9.2
214
|
Verified
8.7
80
Generative AI
7.6
127
7.1
28
7.8
124
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
78
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
79
Not enough data
8.7
77
Not enough data
8.7
79
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
8.9
151
Not enough data
8.9
165
Not enough data
8.5
133
Not enough data
Processing
9.2
168
Not enough data
9.1
161
Not enough data
Data Transformation
8.8
283
Not enough data
9.3
293
Not enough data
Connectivity
8.1
251
Not enough data
8.2
249
Not enough data
8.7
278
Not enough data
8.7
269
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 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
16.0%
Computer Software
13.5%
Retail
7.0%
Financial Services
6.5%
Marketing and Advertising
5.2%
Other
51.8%
Information Technology and Services
12.3%
Computer Software
11.4%
Consulting
7.9%
Financial Services
6.1%
Business Supplies and Equipment
3.5%
Other
58.8%
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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