Compare Cloudera and Databricks 
At a Glance
Market Segments
Enterprise (51.5% of reviews)
Enterprise (44.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Cloudera
Star Rating
(38)4.0 out of 5
Market Segments
Enterprise (51.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about ClouderaDatabricks
Star Rating
(742)4.6 out of 5
Market Segments
Enterprise (44.7% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Databricks excels in user experience, with a significantly higher satisfaction rating. Users appreciate how it simplifies the entire data workflow, allowing them to manage data processing, analysis, and machine learning all in one place, particularly through its intuitive notebook environment.
- According to verified reviews, Cloudera is noted for its ease of use, with users describing it as "EASY to use and friendly." This positive feedback highlights its effectiveness in handling confidential data, making it a reliable choice for businesses concerned about data security.
- Users say that Databricks offers a wealth of features that enhance its functionality, such as Genie, Lakehouse Connect, and streaming tables. These features contribute to a more integrated experience, which many users find beneficial for their enterprise migrations.
- Reviewers mention that Cloudera faces challenges in meeting specific workflow needs, with some users reporting configuration difficulties. Despite this, it still serves businesses well, helping them reach more customers and improve their software visibility.
- G2 reviewers highlight Databricks' strong support and product direction, with features like Unity Catalog providing centralized governance and fine-grained access control. This has been a game-changer for many enterprises transitioning from traditional architectures.
- According to recent user feedback, while Cloudera has a solid foundation, it struggles with recent user engagement, as evidenced by the lack of recent reviews. In contrast, Databricks has garnered a substantial number of recent reviews, indicating a more active user base and ongoing improvements.
Pricing
Entry-Level Pricing
Cloudera
No pricing availableDatabricks
No pricing availableFree Trial
Cloudera
No trial information availableDatabricks
Free Trial is available
Ratings
Meets Requirements
8.2
30
8.9
589
Ease of Use
7.7
30
8.9
602
Ease of Setup
7.8
18
8.7
474
Ease of Admin
7.2
18
8.4
184
Quality of Support
6.9
26
8.7
565
Has the product been a good partner in doing business?
7.8
15
8.9
188
Product Direction (% positive)
7.0
31
9.6
576
Features by Category
Reports
Not enough data
8.3
13
Not enough data
7.7
11
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
9.0
15
Data Preparation
Not enough data
8.9
6
Not enough data
8.8
7
Data Modeling and Blending
Not enough data
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Generative AI
Not enough data
9.1
9
Not enough data
9.2
6
Agentic AI - Analytics Platforms
Not enough data
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
Self Service
Not enough data
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
Deployment & Integration - Analytics Platforms
Not enough data
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Advanced Analytics
Not enough data
8.3
11
Not enough data
8.2
11
Not enough data
9.1
13
Performance & Scalability - Analytics Platforms
Not enough data
8.8
7
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
9.0
8
Not enough data
8.5
8
Not enough data
8.6
6
Agentic AI Capabilities - Analytics Platforms
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Personalized Intelligence - Analytics Platforms
Not enough data
9.2
6
Not enough data
7.9
8
Not enough data
8.3
7
Building Reports
Not enough data
9.0
157
Not enough data
8.6
147
Not enough data
7.6
123
Not enough data
8.4
148
Administration
Not enough data
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
98
Management
Not enough data
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
Compliance
Not enough data
8.9
99
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
95
Security
Not enough data
9.0
88
Not enough data
8.9
86
Not enough data
8.8
86
Data Quality
Not enough data
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
Maintainence
Not enough data
8.7
85
Not enough data
8.8
84
Generative AI
Not enough data
8.4
82
Not enough data
8.5
81
Agentic AI - Data Governance
Not enough data
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
Management
Not enough data
8.6
172
Not enough data
8.5
164
Functionality
Not enough data
9.1
176
Not enough data
9.2
178
Not enough data
9.1
173
Not enough data
9.0
167
Not enough data
9.1
168
Deployment
Not enough data
8.9
65
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
68
Deployment
Not enough data
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
Management
Not enough data
9.0
64
Not enough data
8.9
66
Not enough data
9.2
61
Not enough data
9.0
69
Operations
Not enough data
8.7
62
Not enough data
8.8
62
Not enough data
9.0
63
Management
Not enough data
8.8
61
Not enough data
8.7
61
Not enough data
9.1
59
Generative AI
Not enough data
8.3
28
Not enough data
8.3
28
System
Not enough data
8.9
180
Model Development
Not enough data
8.7
183
Not enough data
7.9
187
Not enough data
8.3
186
Not enough data
8.7
191
Model Development
Not enough data
8.5
172
Machine/Deep Learning Services
Not enough data
8.2
174
Not enough data
8.5
180
Not enough data
8.3
172
Not enough data
8.2
172
Machine/Deep Learning Services
Not enough data
8.4
158
Not enough data
8.4
160
Deployment
Not enough data
8.5
179
Not enough data
8.7
180
Not enough data
9.0
188
Generative AI
Not enough data
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
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
Data Management
Not enough data
9.0
185
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.9
181
|
Verified
Not enough data
8.8
180
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
172
|
Verified
Integration
Not enough data
8.8
168
|
Verified
Not enough data
8.8
167
|
Verified
Not enough data
9.1
175
|
Verified
Deployment
Not enough data
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Performance
Not enough data
9.2
179
|
Verified
Security
Not enough data
8.9
170
|
Verified
Not enough data
8.9
168
|
Verified
Generative AI
Not enough data
8.5
76
Not enough data
8.4
75
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
Not enough data
Not enough data
Maintenance
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
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Feature Not Available
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
9.0
68
Not enough data
8.8
70
Not enough data
8.8
68
Not enough data
9.1
69
Agentic AI - DataOps Platforms
Not enough data
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
Analytics
Not enough data
8.8
67
Not enough data
8.5
67
Monitoring and Management
Not enough data
8.6
67
Not enough data
8.6
68
Cloud Deployment
Not enough data
9.0
63
Not enough data
9.0
64
Generative AI
Not enough data
8.9
36
Not enough data
8.9
36
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
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
Database
7.8
10
8.7
238
8.8
10
8.9
246
8.1
8
9.3
264
Integrations
8.7
10
8.3
219
8.1
9
9.1
266
Platform
9.2
6
8.9
258
7.5
8
8.9
254
8.1
9
9.1
266
Processing
7.8
6
9.0
247
8.1
8
9.0
253
Data Transformation
7.0
9
|
Verified
8.9
228
8.3
6
|
Verified
9.1
236
Connectivity
9.0
10
|
Verified
8.7
207
9.1
9
|
Verified
9.2
230
8.5
9
|
Verified
9.0
221
9.0
8
|
Verified
9.2
231
Operations
7.5
8
|
Verified
8.4
229
8.0
9
|
Verified
8.8
227
7.9
7
|
Verified
8.6
213
Feature Not Available
8.6
209
8.7
5
|
Verified
9.3
232
Building Reports
Not enough data
9.0
157
Not enough data
8.6
147
Not enough data
7.6
123
Not enough data
8.4
148
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
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
Categories
Categories
Shared Categories
Cloudera and Databricks are categorized as Big Data Processing and Distribution, Big Data Analytics, and Data Warehouse
Unique Categories
Cloudera is categorized as Key Value Databases and Big Data Integration Platforms
Reviews
Reviewers' Company Size
Cloudera
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks
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
21.2%
Telecommunications
12.1%
Computer Software
12.1%
Retail
9.1%
Marketing and Advertising
6.1%
Other
39.4%
Information Technology and Services
15.7%
Financial Services
10.2%
Computer Software
8.7%
Consulting
3.9%
Hospital & Health Care
3.8%
Other
57.7%
Alternatives
Discussions
Cloudera has no discussions with answers
What is Lakehouse in Databricks?
4 Comments
BK
Lakehouse architecture is the merging of the data warehouse and data lake concepts into a single platform, with built-in support for lineage maintenance and ML.Read more
What are the features of Databricks?
4 Comments
SM
Delta Lake
Lakehosue platform
Schema evolution
Data quarantine & Data Quality
Data Integration & TransformationsRead more
What does Databricks software do?
3 Comments
SM
It will work like Hadoop, databricks provide the services like big data.
Databricks also work like in advanced level it's have capability to process large...Read more
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
or continue with
or continue with
By proceeding, you agree to our Terms of Use and Privacy Policy
