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Compare Druid and SAP Datasphere 
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At a Glance
Market Segments
Enterprise (57.1% 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.
Druid
Star Rating
(31)4.3 out of 5
Market Segments
Enterprise (57.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DruidSAP 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 Druid excels in real-time data collection with a score of 8.5, making it a preferred choice for businesses needing immediate insights, while SAP Datasphere, although strong, scores slightly lower in this area.
- Reviewers mention that Druid's data integration capabilities are rated at 9.3, showcasing its ability to seamlessly connect with various data sources, whereas SAP Datasphere's integration score is 8.8, indicating it is also effective but not as robust as Druid.
- G2 users highlight that SAP Datasphere offers superior quality of support with a score of 8.8, compared to Druid's 7.9, suggesting that users may find more reliable assistance when using SAP Datasphere.
- Users on G2 report that Druid's metadata management is rated at 9.1, which is a significant strength, while SAP Datasphere's score of 8.6 indicates it is competent but may not provide the same level of detail and usability.
- Reviewers say that Druid's query latency performance is impressive, with lower latency reported, making it suitable for applications requiring quick data retrieval, while SAP Datasphere, although effective, does not match this performance level.
- Users mention that SAP Datasphere shines in BI tool integration with a score of 8.5, which is higher than Druid's 7.0, indicating that users may find it easier to connect with their existing business intelligence tools when using SAP Datasphere.
Pricing
Entry-Level Pricing
Druid
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
Druid
Free Trial is available
SAP Datasphere
Free Trial is available
Ratings
Meets Requirements
8.4
20
8.7
97
Ease of Use
8.0
20
8.2
105
Ease of Setup
6.4
7
7.9
88
Ease of Admin
6.4
7
8.5
37
Quality of Support
7.9
18
8.5
95
Has the product been a good partner in doing business?
7.7
5
8.4
39
Product Direction (% positive)
7.3
17
9.6
92
Features by Category
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
8.3
5
8.6
79
8.0
5
8.3
77
8.7
5
Feature Not Available
8.7
5
8.2
78
Not enough data
7.8
76
8.0
5
8.1
76
Integration
Not enough data
7.8
75
7.0
5
8.2
78
Not enough data
8.1
75
Deployment
Not enough data
Feature Not Available
8.3
5
8.4
77
Performance
8.3
5
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
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
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
Database Features
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
Storage
8.8
10
Not enough data
7.8
10
Not enough data
Availability
8.7
9
Not enough data
7.6
9
Not enough data
8.3
10
Not enough data
Performance
8.9
9
Not enough data
Security
8.1
8
Not enough data
9.3
7
Not enough data
8.7
10
Not enough data
8.5
8
Not enough data
Support
8.8
10
Not enough data
9.2
11
Not enough data
Query latency
Not enough data
Not enough data
Not enough data
Not enough data
Data latency
Not enough data
Not enough data
Not enough data
Not enough data
Connectors
Not enough data
Not enough data
Not enough data
Not enough data
Scale
Not enough data
Not enough data
Not enough data
Not enough data
Architecture
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.5
10
Not enough data
8.7
10
Not enough data
8.8
8
Not enough data
Integrations
8.8
8
Not enough data
8.1
9
Not enough data
Platform
8.5
9
Not enough data
8.7
9
Not enough data
8.1
9
Not enough data
Processing
8.6
7
Not enough data
8.7
9
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
Druid and SAP Datasphere are categorized as Data Warehouse
Unique Categories
Druid is categorized as Real-time Analytic Database, Time Series Databases, Columnar Databases, Relational Databases, and Big Data Processing and Distribution
SAP Datasphere is categorized as Data Fabric
Reviews
Reviewers' Company Size
Druid
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
Computer Software
28.6%
Telecommunications
10.7%
Leisure, Travel & Tourism
10.7%
Retail
7.1%
Information Technology and Services
7.1%
Other
35.7%
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 it good to use Druid (for a small dataset) as an in-memory database ?
1 Comment
DG
Yes it is good for medium size data sets to big scale datasetsRead more
Druid has no more 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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