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At a Glance
Market Segments
Enterprise (55.6% of reviews)
Enterprise (40.6% of reviews)
Entry-Level Pricing
No pricing available
Free Trial 0 Visit the SAP Datasphere Pricing page for packages and pricing information.
Denodo
Star Rating
(44)4.3 out of 5
Market Segments
Enterprise (55.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about DenodoSAP 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 Denodo excels in data integration with a score of 9.3, highlighting its ability to seamlessly connect various data sources, while SAP Datasphere, with a score of 8.8, is noted for its robust data management capabilities but falls slightly short in integration flexibility.
- Reviewers mention that Denodo's dynamic data masking feature is particularly strong, providing enhanced data security, whereas SAP Datasphere's data security features are rated slightly higher at 8.8, indicating a more comprehensive approach to data protection.
- G2 users highlight that Denodo's metadata management is rated at 9.1, which is praised for its effectiveness in tracking data lineage and governance, while SAP Datasphere, although strong in governance with a score of 9.1, does not match the same level of user satisfaction in metadata management.
- Users on G2 report that Denodo's ease of use is rated at 8.5, making it user-friendly for data professionals, while SAP Datasphere, with a slightly lower score of 8.3, is perceived as having a steeper learning curve, particularly for new users.
- Reviewers say that Denodo's cloud deployment is rated at 8.8, which is appreciated for its scalability and performance, while SAP Datasphere also scores well in cloud deployment but is noted for its slightly better application performance at 7.4.
- Users report that Denodo's built-in data analytics feature scores 8.5, which is beneficial for real-time insights, while SAP Datasphere's data analytics capabilities are rated at 9.3, indicating a stronger emphasis on advanced analytics and reporting functionalities.
Pricing
Entry-Level Pricing
Denodo
No pricing availableSAP 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
Denodo
Free Trial is available
SAP Datasphere
Free Trial is available
Ratings
Meets Requirements
8.4
30
8.7
97
Ease of Use
8.7
30
8.2
105
Ease of Setup
8.2
18
7.9
88
Ease of Admin
7.5
16
8.5
37
Quality of Support
8.2
27
8.5
95
Has the product been a good partner in doing business?
8.9
16
8.4
39
Product Direction (% positive)
9.1
26
9.6
92
Features by Category
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
Not enough data
Not enough data
Self Service
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
Advanced Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Data Governance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Collaboration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Artificial Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Machine Learning Data Catalog
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
Administration
8.8
20
Not enough data
8.2
18
Not enough data
8.1
18
Not enough data
Federation
8.2
18
Not enough data
8.1
18
Not enough data
8.3
17
Not enough data
8.9
15
Not enough data
Transformation
9.0
17
Not enough data
8.0
18
Not enough data
8.8
18
Not enough data
Data Management
9.3
5
8.4
15
Not enough data
8.1
15
Not enough data
8.1
15
8.0
5
8.0
15
Analytics
Not enough data
8.4
15
Security
8.7
5
8.0
15
8.7
5
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
Not enough data
8.6
79
Not enough data
8.3
77
Not enough data
Feature Not Available
Not enough data
8.2
78
Not enough data
7.8
76
Not enough data
8.1
76
Integration
Not enough data
7.8
75
Not enough data
8.2
78
Not enough data
8.1
75
Deployment
Not enough data
Feature Not Available
Not enough data
8.4
77
Performance
Not enough data
8.4
77
Security
Not enough data
8.4
76
Not enough data
8.7
77
Generative AI
Not enough data
7.1
28
Not enough data
6.7
27
Deployment & Integration - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Connectivity & Federation - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling & Metrics - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Governance - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Intelligence - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Enablement - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integrations
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
Processing
Not enough data
Not enough data
Not enough data
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
Denodo and SAP Datasphere are categorized as Data Fabric and Data Warehouse
Unique Categories
Denodo is categorized as Data Virtualization, Machine Learning Data Catalog, Big Data Integration Platforms, Big Data Processing and Distribution, and Semantic Layer Tools
SAP Datasphere has no unique categories
Reviews
Reviewers' Company Size
Denodo
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
Insurance
16.7%
Banking
13.9%
Information Technology and Services
11.1%
Financial Services
11.1%
Higher Education
5.6%
Other
41.7%
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
Denodo has no discussions with answers
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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