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- Cloudera-vs-Databricks Data Intelligence Platform
Compare Cloudera and Databricks Data Intelligence Platform 
At a Glance
Market Segments
Enterprise (51.5% of reviews)
Enterprise (46.9% 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)
Entry-Level Pricing
No pricing available
Learn more about ClouderaDatabricks Data Intelligence Platform
Star Rating
(608)4.6 out of 5
Market Segments
Enterprise (46.9% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Databricks Data Intelligence PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Cloudera excels in Data Integration with a score of 9.0, making it a strong choice for organizations needing to consolidate data from various sources. In contrast, Databricks also performs well with a score of 8.9, but reviewers mention that its Data Lake capabilities, scoring 9.1, provide a more seamless experience for big data analytics.
- Reviewers mention that Cloudera's Quality of Support is rated at 6.9, which some users find lacking compared to Databricks' impressive score of 8.4. Users on G2 highlight that Databricks offers more responsive and helpful customer service, enhancing the overall user experience.
- Users say that Cloudera's Ease of Use is rated at 7.7, which some find challenging, while Databricks shines with a score of 8.7. Reviewers mention that Databricks' intuitive interface and user-friendly features make it easier for teams to adopt and utilize effectively.
- G2 users report that Cloudera's Data Lineage feature scores an impressive 8.8, allowing for better tracking of data flow and transformations. However, Databricks also performs well in this area with a score of 9.2, with users noting its advanced capabilities in visualizing data lineage, which aids in compliance and auditing processes.
- Reviewers mention that Cloudera's Deployment Options are versatile, with a score of 7.5 for on-premise solutions, but Databricks outperforms with a score of 8.9 for cloud deployment. Users report that Databricks' cloud-native architecture simplifies scaling and management, making it a preferred choice for modern data teams.
- Users on G2 highlight that Cloudera's Data Governance features score 8.4, which is robust but not as comprehensive as Databricks' 9.2. Reviewers mention that Databricks provides more advanced governance tools, making it easier for organizations to manage data compliance and security effectively.
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Pricing
Entry-Level Pricing
Cloudera
No pricing availableDatabricks Data Intelligence Platform
No pricing availableFree Trial
Cloudera
No trial information availableDatabricks Data Intelligence Platform
Free Trial is available
Ratings
Meets Requirements
8.2
30
8.9
494
Ease of Use
7.7
30
8.8
503
Ease of Setup
7.8
18
8.7
376
Ease of Admin
7.2
18
8.3
162
Quality of Support
6.9
26
8.7
469
Has the product been a good partner in doing business?
7.8
15
8.8
165
Product Direction (% positive)
7.0
31
9.6
483
Features by Category
Administration
Not enough data
8.7
83
Not enough data
8.6
80
Not enough data
9.0
81
Not enough data
8.6
82
Management
Not enough data
8.4
75
Not enough data
8.6
74
Not enough data
8.6
74
Not enough data
8.4
74
Not enough data
8.7
74
Compliance
Not enough data
8.8
81
Not enough data
8.6
80
Not enough data
8.9
79
Not enough data
8.7
79
Security
Not enough data
9.0
72
Not enough data
8.9
74
Not enough data
8.8
74
Data Quality
Not enough data
8.9
81
Not enough data
8.7
80
Not enough data
9.0
78
Maintainence
Not enough data
8.8
73
Not enough data
8.8
72
Generative AI
Not enough data
8.5
71
Not enough data
8.5
70
Agentic AI - Data Governance
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
Management
Not enough data
8.6
161
Not enough data
8.5
155
Functionality
Not enough data
9.1
162
Not enough data
9.2
163
Not enough data
9.1
164
Not enough data
9.0
156
Not enough data
9.1
158
Deployment
Not enough data
8.9
61
Not enough data
8.9
62
Not enough data
8.9
62
Not enough data
8.9
62
Not enough data
8.9
62
Deployment
Not enough data
8.9
60
Not enough data
8.8
61
Not enough data
8.6
64
Not enough data
8.9
63
Not enough data
9.0
63
Management
Not enough data
8.9
59
Not enough data
8.8
61
Not enough data
9.2
57
Not enough data
9.0
65
Operations
Not enough data
8.7
60
Not enough data
8.8
59
Not enough data
9.0
60
Management
Not enough data
8.8
59
Not enough data
8.7
58
Not enough data
9.1
57
Generative AI
Not enough data
8.3
26
Not enough data
8.3
26
System
Not enough data
8.8
168
Not enough data
8.7
163
Not enough data
8.1
164
Model Development
Not enough data
8.7
171
Not enough data
7.9
177
Not enough data
8.3
174
Not enough data
8.6
176
Model Development
Not enough data
8.4
162
Not enough data
8.7
166
Not enough data
8.5
164
Machine/Deep Learning Services
Not enough data
8.1
163
Not enough data
8.5
168
Not enough data
8.2
160
Not enough data
8.2
162
Machine/Deep Learning Services
Not enough data
8.2
151
Not enough data
8.4
149
Not enough data
8.4
149
Not enough data
8.5
151
Deployment
Not enough data
8.5
166
Not enough data
8.7
169
Not enough data
9.0
173
Deployment
Not enough data
8.5
156
Not enough data
8.7
162
Not enough data
8.8
160
Generative AI
Not enough data
8.3
80
Not enough data
8.5
80
Not enough data
7.6
79
Agentic AI - Data Science and Machine Learning Platforms
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 Management
Not enough data
9.0
171
|
Verified
Not enough data
8.9
170
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
8.7
168
|
Verified
Not enough data
8.6
158
|
Verified
Not enough data
9.0
160
|
Verified
Integration
Not enough data
8.8
156
|
Verified
Not enough data
8.8
156
|
Verified
Not enough data
9.0
164
|
Verified
Deployment
Not enough data
7.8
145
|
Verified
Not enough data
9.1
166
|
Verified
Performance
Not enough data
9.1
166
|
Verified
Security
Not enough data
8.8
157
|
Verified
Not enough data
8.9
158
|
Verified
Generative AI
Not enough data
8.5
68
Not enough data
8.4
67
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
60
Not enough data
8.6
59
Not enough data
8.7
60
Not enough data
9.1
57
Agentic AI - DataOps Platforms
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
Analytics
Not enough data
8.9
58
Not enough data
8.5
57
Monitoring and Management
Not enough data
8.6
58
Not enough data
8.4
58
Cloud Deployment
Not enough data
9.1
54
Not enough data
9.0
55
Generative AI
Not enough data
8.9
29
Not enough data
9.0
29
Database
7.8
10
8.7
202
8.8
10
8.9
208
8.1
8
9.3
209
Integrations
8.7
10
8.2
191
8.1
9
9.2
211
Platform
9.2
6
9.0
204
7.5
8
8.8
207
8.1
9
9.2
211
Processing
7.8
6
9.0
204
8.1
8
9.0
203
Data Transformation
7.0
9
|
Verified
8.8
210
8.3
6
|
Verified
9.0
217
Connectivity
9.0
10
|
Verified
8.6
193
9.1
9
|
Verified
9.2
216
8.5
9
|
Verified
9.0
208
9.0
8
|
Verified
9.2
216
Operations
7.5
8
|
Verified
8.4
214
8.0
9
|
Verified
8.8
209
7.9
7
|
Verified
8.6
198
Feature Not Available
8.6
196
8.7
5
|
Verified
9.3
211
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
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 Data Intelligence Platform 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
Databricks Data Intelligence Platform is categorized as DataOps Platforms, MLOps Platforms, ETL Tools, Data Science and Machine Learning Platforms, and Data Governance
Reviews
Reviewers' Company Size
Cloudera
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks Data Intelligence Platform
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
14.6%
Financial Services
11.8%
Computer Software
7.7%
Consulting
4.0%
Hospital & Health Care
3.9%
Other
58.0%
Most Helpful Reviews
Cloudera
Most Helpful Favorable Review
Kushal R.
Verified User in Banking
Ease of use and setup. You are easily able to diagnose problems with the cluster through the GUI. Spark integration as well as Hbase is great for our needs. Kafka integration has helped us test a new feature in application thereby increasing performance....
Most Helpful Critical Review
veena k.
Verified User
its cost is high and also, not very administrator friendly
Databricks Data Intelligence Platform
Most Helpful Favorable Review
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Most Helpful Critical Review
Aleksandr P.
Verified User in Financial Services
The biggest kink in Lakehouse platform is its speed. It does not deliver on the performance promised. In addition, the Databricks UI is not easy to use. It feels like it's a smartphone app. On the side of technology, it is slow and expensive, with...
Kushal R.
Verified User in Banking
Ease of use and setup. You are easily able to diagnose problems with the cluster through the GUI. Spark integration as well as Hbase is great for our needs. Kafka integration has helped us test a new feature in application thereby increasing performance....
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
veena k.
Verified User
its cost is high and also, not very administrator friendly
Aleksandr P.
Verified User in Financial Services
The biggest kink in Lakehouse platform is its speed. It does not deliver on the performance promised. In addition, the Databricks UI is not easy to use. It feels like it's a smartphone app. On the side of technology, it is slow and expensive, with...
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?
3 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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