Compare Cloudera and Databricks 
At a Glance
Market Segments
Enterprise (51.5% of reviews)
Enterprise (44.8% 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
(724)4.6 out of 5
Market Segments
Enterprise (44.8% 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
574
Ease of Use
7.7
30
8.9
585
Ease of Setup
7.8
18
8.7
457
Ease of Admin
7.2
18
8.3
183
Quality of Support
6.9
26
8.7
549
Has the product been a good partner in doing business?
7.8
15
8.9
187
Product Direction (% positive)
7.0
31
9.6
562
Features by Category
Reports
Not enough data
8.3
12
Not enough data
7.7
10
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.9
14
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
9.0
12
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
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
145
Administration
Not enough data
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
97
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
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Security
Not enough data
9.0
86
Not enough data
8.9
85
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
83
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
171
Not enough data
8.5
164
Functionality
Not enough data
9.1
173
Not enough data
9.2
174
Not enough data
9.1
172
Not enough data
9.0
167
Not enough data
9.1
167
Deployment
Not enough data
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
Deployment
Not enough data
8.9
61
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
63
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
8.9
68
Operations
Not enough data
8.7
62
Not enough data
8.8
61
Not enough data
9.0
62
Management
Not enough data
8.8
60
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
8.8
182
Not enough data
7.9
187
Not enough data
8.3
186
Not enough data
8.7
190
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
178
Not enough data
8.7
180
Not enough data
9.0
187
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
179
|
Verified
Not enough data
8.8
180
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
171
|
Verified
Integration
Not enough data
8.8
168
|
Verified
Not enough data
8.8
166
|
Verified
Not enough data
9.1
174
|
Verified
Deployment
Not enough data
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Performance
Not enough data
9.1
177
|
Verified
Security
Not enough data
8.8
168
|
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
8.7
69
Not enough data
8.8
68
Not enough data
9.1
68
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
237
8.8
10
8.9
243
8.1
8
9.3
257
Integrations
8.7
10
8.3
220
8.1
9
9.1
258
Platform
9.2
6
9.0
250
7.5
8
8.8
248
8.1
9
9.1
258
Processing
7.8
6
9.0
243
8.1
8
9.0
246
Data Transformation
7.0
9
|
Verified
8.8
226
8.3
6
|
Verified
9.1
232
Connectivity
9.0
10
|
Verified
8.7
206
9.1
9
|
Verified
9.2
230
8.5
9
|
Verified
9.0
220
9.0
8
|
Verified
9.2
230
Operations
7.5
8
|
Verified
8.4
227
8.0
9
|
Verified
8.8
224
7.9
7
|
Verified
8.6
212
Feature Not Available
8.6
209
8.7
5
|
Verified
9.3
230
Building Reports
Not enough data
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
145
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
10.5%
Computer Software
8.6%
Consulting
4.0%
Hospital & Health Care
3.7%
Other
57.5%
Alternatives
Discussions
Cloudera has no discussions with answers
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
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