Compare Denodo and SAP Datasphere 
Featured Products
At a Glance
Market Segments
Enterprise (54.1% of reviews)
Enterprise (40.3% 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
(46)4.3 out of 5
Market Segments
Enterprise (54.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DenodoSAP 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 both Denodo and SAP Datasphere offer strong data integration capabilities, but users particularly appreciate Denodo's virtualization and query optimization features, which simplify data handling and provide a unified view of various data sources.
- Users say that Denodo excels in the setup process, highlighting its extensive collection of built-in connectors that make integration seamless. In contrast, while SAP Datasphere also offers ease of integration, some users find it less intuitive compared to Denodo's straightforward approach.
- Reviewers mention that SAP Datasphere shines in its ability to create business-friendly semantic models with minimal coding, making it accessible for users without extensive technical backgrounds. This feature is particularly beneficial for those working with automation frameworks, as noted by users who appreciate its seamless interaction with tools like Python and Jenkins.
- According to verified reviews, both products receive similar star ratings, but SAP Datasphere has a significantly larger number of reviews, indicating a broader user base and potentially more reliable insights into its performance and user satisfaction.
- Users highlight that Denodo's strong performance in data governance and compliance is a key advantage, with many praising its ability to maintain data consistency. Conversely, SAP Datasphere's governance features are seen as adequate but not as robust as Denodo's, which may be a consideration for organizations with strict compliance needs.
- G2 reviewers note that while both products provide quality support, Denodo's users report a slightly higher satisfaction with their support experience, emphasizing the importance of responsive customer service in their day-to-day operations.
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
8.6
105
Ease of Use
8.7
30
8.1
114
Ease of Setup
8.2
18
7.8
95
Ease of Admin
7.5
16
8.3
38
Quality of Support
8.2
27
8.4
103
Has the product been a good partner in doing business?
8.9
16
8.4
40
Product Direction (% positive)
9.1
26
9.5
100
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
8.5
18
Not enough data
8.2
16
Not enough data
8.3
17
8.0
5
8.0
17
Analytics
Not enough data
8.6
18
Security
8.7
5
8.1
16
8.7
5
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
Not enough data
8.7
84
Not enough data
8.3
78
Not enough data
Feature Not Available
Not enough data
8.2
79
Not enough data
7.8
76
Not enough data
8.1
76
Integration
Not enough data
7.8
75
Not enough data
8.3
81
Not enough data
8.1
75
Deployment
Not enough data
Feature Not Available
Not enough data
8.5
80
Performance
Not enough data
8.3
81
Security
Not enough data
8.4
78
Not enough data
8.7
80
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%
Financial Services
11.1%
Information Technology and Services
11.1%
Computer Software
5.6%
Other
41.7%
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
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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