Compare Databricks and SAP HANA Cloud 
At a Glance
Market Segments
Enterprise (44.8% of reviews)
Enterprise (62.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(731)4.6 out of 5
Market Segments
Enterprise (44.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksSAP HANA Cloud
Star Rating
(595)4.3 out of 5
Market Segments
Enterprise (62.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about SAP HANA CloudSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that SAP HANA Cloud excels in performance, particularly with its fast in-memory capabilities that enhance analytics and large query execution. Users appreciate how it integrates seamlessly with other SAP tools, streamlining workflows as data needs grow.
- Users say that Databricks stands out for its comprehensive feature set, including Genie, Lakehouse Connect, and streaming tables. This all-in-one platform simplifies the data workflow, allowing users to manage data processing, analysis, and machine learning without switching between multiple tools.
- Reviewers mention that while SAP HANA Cloud has a user-friendly interface, it sometimes faces challenges in setup and administration. Some users have noted that the initial configuration can be complex, which may impact the overall user experience.
- According to verified reviews, Databricks receives high marks for its ease of use and quality of support. Users highlight the intuitive notebook environment and the responsive support team, which contribute to a smoother experience when navigating the platform.
- G2 reviewers report that SAP HANA Cloud is particularly favored by enterprise users, with a significant portion of its reviews coming from this segment. This focus on enterprise solutions is reflected in its robust performance and scalability, making it a strong choice for larger organizations.
- Users say that Databricks' Unity Catalog has been a game-changer for enterprise migrations, providing centralized governance and fine-grained access control. This feature has been highlighted as a major value-add, especially for organizations looking to enhance their data management capabilities.
Pricing
Entry-Level Pricing
Databricks
No pricing availableSAP HANA Cloud
No pricing availableFree Trial
Databricks
Free Trial is available
SAP HANA Cloud
Free Trial is available
Ratings
Meets Requirements
9.0
582
8.6
365
Ease of Use
8.9
593
8.1
375
Ease of Setup
8.7
465
7.8
261
Ease of Admin
8.4
184
7.9
200
Quality of Support
8.7
557
8.1
349
Has the product been a good partner in doing business?
8.9
188
8.5
196
Product Direction (% positive)
9.6
570
8.6
333
Features by Category
Reports
8.3
12
8.5
31
7.7
10
8.4
30
8.3
11
8.9
29
8.0
9
8.6
26
9.0
15
9.0
29
Self Service
7.7
10
Not enough data
7.7
10
Not enough data
8.5
11
Not enough data
8.1
12
Not enough data
8.2
11
Not enough data
7.9
8
Not enough data
Advanced Analytics
8.3
11
Not enough data
8.2
11
Not enough data
9.0
12
Not enough data
Building Reports
9.0
153
Not enough data
8.6
145
Not enough data
7.6
123
Not enough data
8.4
146
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
Reports
8.3
12
8.5
31
7.7
10
8.4
30
8.3
11
8.9
29
8.0
9
8.6
26
9.0
15
9.0
29
Reports
Not enough data
8.6
22
Not enough data
8.5
22
Not enough data
8.0
22
Generative AI
Not enough data
6.2
19
Not enough data
6.2
19
Visualization
Not enough data
8.7
22
Not enough data
8.1
22
Not enough data
9.0
21
Not enough data
8.4
21
Data Updates
Not enough data
8.3
22
Not enough data
8.7
22
Collaboration
Not enough data
8.2
22
Not enough data
8.0
22
Not enough data
8.3
22
Data Updates
Not enough data
8.9
25
Not enough data
8.9
26
Not enough data
8.1
25
Reports
8.3
12
8.5
31
7.7
10
8.4
30
8.3
11
8.9
29
8.0
9
8.6
26
9.0
15
9.0
29
Data Preparation
8.9
6
Not enough data
8.8
7
Not enough data
Data Modeling and Blending
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
Generative AI
9.1
9
Not enough data
9.2
6
Not enough data
Agentic AI - Analytics Platforms
9.3
7
Not enough data
8.7
5
Not enough data
8.3
6
Not enough data
8.3
6
Not enough data
8.3
7
Not enough data
9.7
6
Not enough data
9.3
5
Not enough data
Self Service
7.7
10
Not enough data
7.7
10
Not enough data
8.5
11
Not enough data
8.1
12
Not enough data
8.2
11
Not enough data
7.9
8
Not enough data
Deployment & Integration - Analytics Platforms
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Advanced Analytics
8.3
11
Not enough data
8.2
11
Not enough data
9.0
12
Not enough data
Performance & Scalability - Analytics Platforms
8.8
7
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.0
8
Not enough data
8.5
8
Not enough data
8.6
6
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
Personalized Intelligence - Analytics Platforms
9.2
6
Not enough data
7.9
8
Not enough data
8.3
7
Not enough data
Building Reports
9.0
153
Not enough data
8.6
145
Not enough data
7.6
123
Not enough data
8.4
146
Not enough data
Cartography
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
8.8
82
Not enough data
8.7
78
Not enough data
8.6
80
Federation
Not enough data
8.6
75
Not enough data
8.4
74
Not enough data
8.4
73
Not enough data
8.7
76
Transformation
Not enough data
8.7
81
Not enough data
8.8
83
Not enough data
8.7
81
Administration
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
98
Not enough data
Management
8.4
87
Not enough data
8.6
86
Not enough data
8.6
88
Not enough data
8.5
87
Not enough data
8.8
86
Not enough data
Compliance
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Not enough data
Security
9.0
88
Not enough data
8.9
86
Not enough data
8.8
86
Not enough data
Data Quality
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
Not enough data
Maintainence
8.7
85
Not enough data
8.8
84
Not enough data
Generative AI
8.4
82
Not enough data
8.5
81
Not enough data
Agentic AI - Data Governance
8.5
10
Not enough data
8.8
11
Not enough data
9.0
14
Not enough data
8.5
12
Not enough data
9.0
12
Not enough data
9.0
13
Not enough data
Management
8.6
171
Not enough data
8.5
164
Not enough data
Functionality
9.1
174
Not enough data
9.2
175
Not enough data
9.1
172
Not enough data
9.0
167
Not enough data
9.1
167
Not enough data
Deployment
8.9
64
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
67
Not enough data
Deployment
8.9
62
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Not enough data
Management
9.0
64
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
9.0
69
Not enough data
Operations
8.7
62
Not enough data
8.8
62
Not enough data
9.0
63
Not enough data
Management
8.8
61
Not enough data
8.7
61
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.9
180
Not enough data
Model Development
8.7
183
Not enough data
7.9
187
Not enough data
8.3
186
Not enough data
8.7
191
Not enough data
Model Development
8.5
172
Not enough data
Machine/Deep Learning Services
8.2
174
Not enough data
8.5
180
Not enough data
8.3
172
Not enough data
8.2
172
Not enough data
Machine/Deep Learning Services
8.4
158
Not enough data
8.4
160
Not enough data
Deployment
8.5
179
Not enough data
8.7
180
Not enough data
9.0
188
Not enough data
Generative AI
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.2
8
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
8.6
7
Not enough data
9.2
10
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
185
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.8
180
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
171
|
Verified
Not enough data
Integration
8.8
168
|
Verified
Not enough data
8.8
167
|
Verified
Not enough data
9.1
175
|
Verified
Not enough data
Deployment
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Not enough data
Performance
9.1
178
|
Verified
Not enough data
Security
8.9
169
|
Verified
Not enough data
8.9
168
|
Verified
Not enough data
Generative AI
8.5
76
Not enough data
8.4
75
Not enough data
Management
Not enough data
8.7
21
Not enough data
8.9
22
Not enough data
9.1
20
Not enough data
8.9
21
Not enough data
8.9
20
Maintenance
Not enough data
8.6
22
Not enough data
9.0
22
Not enough data
8.7
22
Security
Not enough data
8.9
21
Not enough data
8.8
23
Management
Not enough data
8.5
85
Not enough data
8.4
85
Not enough data
8.4
80
Not enough data
8.6
84
Support
Not enough data
8.3
84
Not enough data
8.6
88
Not enough data
8.3
86
Not enough data
Feature Not Available
Security
Not enough data
8.8
82
Not enough data
8.6
83
Not enough data
8.7
82
Not enough data
8.8
84
Performance
Not enough data
8.7
82
Not enough data
8.7
80
Not enough data
8.6
80
Not enough data
8.7
78
Not enough data
Feature Not Available
Database Features
Not enough data
8.7
211
Not enough data
8.6
214
Not enough data
8.5
217
Not enough data
8.6
220
Not enough data
8.7
213
Not enough data
8.2
205
Not enough data
8.2
198
Data Management
9.0
68
Not enough data
8.8
70
Not enough data
8.8
68
Not enough data
9.1
69
Not enough data
Agentic AI - DataOps Platforms
9.1
9
Not enough data
8.8
7
Not enough data
8.9
9
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
Analytics
8.8
67
Not enough data
8.5
67
Not enough data
Monitoring and Management
8.6
67
Not enough data
8.6
68
Not enough data
Cloud Deployment
9.0
63
Not enough data
9.0
64
Not enough data
Generative AI
8.9
36
Not enough data
8.9
36
Not enough data
Setup
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data
Not enough data
Not enough data
Not enough data
Not enough data
Analysis
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
Customization
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
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Customization - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - AI Agent Builders
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 and Analytics - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Traffic Management & Performance - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Observability - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
8.2
10
Not enough data
8.2
10
Not enough data
8.8
10
Data Analysis
Not enough data
8.8
10
Not enough data
8.5
8
Decision Making
Not enough data
8.1
9
Not enough data
9.4
9
Not enough data
9.3
9
Not enough data
9.3
9
Generative AI
Not enough data
6.9
9
Not enough data
7.2
9
Configuration
Not enough data
8.7
82
Not enough data
8.5
78
Not enough data
8.7
80
Not enough data
8.2
74
Not enough data
8.7
77
Database Administration
Not enough data
8.5
78
Not enough data
8.3
77
Not enough data
8.4
78
Availability
Not enough data
8.7
80
Not enough data
8.5
78
Not enough data
8.6
76
Not enough data
8.6
75
Security
Not enough data
8.7
69
Not enough data
8.6
72
Not enough data
8.6
72
Data Management
Not enough data
8.6
74
Not enough data
8.6
73
Database
8.7
238
Not enough data
8.9
246
Not enough data
9.3
263
Not enough data
Integrations
8.3
220
Not enough data
9.1
263
Not enough data
Platform
9.0
254
Not enough data
8.9
252
Not enough data
9.1
263
Not enough data
Processing
9.0
245
Not enough data
9.0
248
Not enough data
Data Transformation
8.8
226
Not enough data
9.1
234
Not enough data
Connectivity
8.7
206
Not enough data
9.2
230
Not enough data
9.0
221
Not enough data
9.2
230
Not enough data
Operations
8.4
228
Not enough data
8.8
225
Not enough data
8.6
213
Not enough data
8.6
209
Not enough data
9.3
232
Not enough data
Building Reports
9.0
153
Not enough data
8.6
145
Not enough data
7.6
123
Not enough data
8.4
146
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
Databricks and SAP HANA Cloud are categorized as MLOps Platforms, Data Science and Machine Learning Platforms, and Database Management Systems (DBMS)
Unique Categories
Databricks is categorized as DataOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Analytics Platforms, Data Warehouse, Generative AI Infrastructure, AI Agent Builders, and AI Gateways
SAP HANA Cloud is categorized as Data Virtualization, Database as a Service (DBaaS), Relational Databases, Data Visualization, Location Intelligence, Predictive Analytics, Text Analysis, Time Series Intelligence, and Machine Learning
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAP HANA Cloud
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
15.8%
Financial Services
10.4%
Computer Software
8.5%
Consulting
4.1%
Hospital & Health Care
3.7%
Other
57.6%
Information Technology and Services
19.5%
Computer Software
7.9%
Retail
4.8%
Accounting
4.6%
Consumer Goods
3.7%
Other
59.5%
Alternatives
Discussions
What is Lakehouse in Databricks?
4 Comments
BR
Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse.Read more
What are the features of Databricks?
4 Comments
SA
It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which...Read more
What is Databricks unified analytics platform?
3 Comments
CA
Databricks' Unified Data Analytics Platform helps organizations accelerate innovation by unifying data science with engineering and business. With Databricks...Read more
SAP HANA Vs Oracle
2 Comments
PB
HANA is in-memory database delivered with its appliance, can compress the data at its optimized size which helps to lower the size of DB to be used in...Read more
How is SAP HANA makes data processing and transactions very fast
2 Comments
SN
by minimizing the no. of business process steps by 30 to 40%Read more
HANA What is Next
1 Comment
PB
HANA what is next ?question is tricky, see HANA is a in memory DB with its certified appliance, a strong DB fighting against the traditional DBs like Oracle,...Read more
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