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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 (47.3% 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
(403)4.6 out of 5
Market Segments
Enterprise (47.3% 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, while Databricks shines in Data Lake capabilities, achieving a score of 9.1. Reviewers mention that Cloudera's robust integration features make it easier to connect various data sources seamlessly.
- Reviewers mention that Databricks offers superior Real-Time Analytics with a score of 8.5 compared to Cloudera's 7.0. Users say that the ability to process and analyze data in real-time is a significant advantage for Databricks, especially for businesses needing immediate insights.
- Users on G2 highlight Cloudera's strong Data Governance features, scoring 9.1, which is crucial for enterprises managing sensitive data. In contrast, Databricks scores slightly lower at 9.2, but reviewers mention that its governance tools are still effective for compliance and security.
- Reviewers say that Databricks provides a more user-friendly experience with an Ease of Use score of 8.7, compared to Cloudera's 7.7. Users report that the intuitive interface and streamlined workflows in Databricks make it easier for teams to adopt and utilize the platform.
- G2 users mention that Cloudera's Quality of Support is rated at 6.9, which some users find lacking, while Databricks boasts a much higher score of 8.4. Reviewers say that the responsive support team at Databricks significantly enhances the user experience.
- Users report that Cloudera's Data Lineage feature scores 8.8, providing excellent tracking of data flow and transformations, which is essential for auditing and compliance. Databricks, while slightly lower at 8.6, still offers robust lineage capabilities, but reviewers mention that Cloudera's implementation is more comprehensive.
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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
8.8
298
Ease of Use
7.7
30
8.8
299
Ease of Setup
7.8
18
8.6
184
Ease of Admin
7.2
18
8.1
89
Quality of Support
6.9
26
8.5
278
Has the product been a good partner in doing business?
7.8
15
8.5
89
Product Direction (% positive)
7.0
31
9.5
284
Features by Category
Administration
Not enough data
8.4
18
Not enough data
8.8
17
Not enough data
9.0
19
Not enough data
8.8
20
Management
Not enough data
8.5
18
Not enough data
8.7
18
Not enough data
8.9
18
Not enough data
8.4
18
Not enough data
9.1
18
Compliance
Not enough data
8.8
19
Not enough data
8.5
18
Not enough data
8.7
18
Not enough data
8.1
18
Security
Not enough data
8.8
17
Not enough data
9.0
18
Not enough data
8.9
18
Data Quality
Not enough data
8.9
18
Not enough data
8.2
18
Not enough data
8.9
18
Maintainence
Not enough data
8.7
18
Not enough data
8.5
18
Generative AI
Not enough data
8.5
18
Not enough data
8.9
18
Management
Not enough data
8.3
84
Not enough data
8.3
80
Functionality
Not enough data
9.1
87
Not enough data
9.3
88
Not enough data
9.1
89
Not enough data
8.9
82
Not enough data
9.1
85
Deployment
Not enough data
8.8
35
Not enough data
8.7
36
Not enough data
8.6
37
Not enough data
8.7
37
Not enough data
8.7
37
Deployment
Not enough data
8.6
34
Not enough data
8.5
35
Not enough data
8.3
39
Not enough data
8.7
38
Not enough data
8.9
38
Management
Not enough data
8.8
34
Not enough data
8.6
35
Not enough data
9.2
31
Not enough data
8.9
39
Operations
Not enough data
8.4
35
Not enough data
8.6
34
Not enough data
8.8
35
Management
Not enough data
8.7
35
Not enough data
8.3
34
Not enough data
9.2
32
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
System
Not enough data
8.8
93
Not enough data
8.6
88
Not enough data
7.7
89
Model Development
Not enough data
8.7
83
Not enough data
7.8
90
Not enough data
8.3
88
Not enough data
8.8
90
Model Development
Not enough data
8.4
87
Not enough data
8.7
92
Not enough data
8.5
90
Machine/Deep Learning Services
Not enough data
8.2
79
Not enough data
8.6
84
Not enough data
8.2
77
Not enough data
8.1
80
Machine/Deep Learning Services
Not enough data
8.1
79
Not enough data
8.3
80
Not enough data
8.1
79
Not enough data
8.4
81
Deployment
Not enough data
8.4
84
Not enough data
8.7
88
Not enough data
8.8
92
Deployment
Not enough data
8.4
86
Not enough data
8.6
92
Not enough data
8.8
92
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Data Management
Not enough data
9.0
114
|
Verified
Not enough data
8.8
113
|
Verified
Not enough data
8.6
109
|
Verified
Not enough data
8.5
111
|
Verified
Not enough data
8.5
101
|
Verified
Not enough data
8.9
105
|
Verified
Integration
Not enough data
8.7
100
|
Verified
Not enough data
8.6
101
|
Verified
Not enough data
8.9
110
|
Verified
Deployment
Not enough data
7.6
90
|
Verified
Not enough data
9.0
111
|
Verified
Performance
Not enough data
9.0
112
|
Verified
Security
Not enough data
8.5
103
|
Verified
Not enough data
8.6
104
|
Verified
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
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
34
Not enough data
8.3
33
Not enough data
8.4
34
Not enough data
9.0
32
Analytics
Not enough data
8.6
32
Not enough data
8.4
31
Monitoring and Management
Not enough data
8.2
32
Not enough data
8.2
32
Cloud Deployment
Not enough data
9.2
29
Not enough data
9.1
29
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Database
7.8
10
8.5
112
8.8
10
8.8
119
8.1
8
9.2
119
Integrations
8.7
10
8.3
104
8.1
9
9.1
121
Platform
9.2
6
8.9
115
7.5
8
8.7
119
8.1
9
9.1
121
Processing
7.8
6
8.9
118
8.1
8
8.9
118
Data Transformation
7.0
9
|
Verified
8.6
133
8.3
6
|
Verified
8.9
140
Connectivity
9.0
10
|
Verified
8.5
117
9.1
9
|
Verified
9.1
139
8.5
9
|
Verified
8.9
131
9.0
8
|
Verified
9.1
140
Operations
7.5
8
|
Verified
8.2
138
8.0
9
|
Verified
8.7
133
7.9
7
|
Verified
8.4
121
Feature Not Available
8.4
121
8.7
5
|
Verified
9.3
135
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
15.1%
Computer Software
10.5%
Financial Services
8.2%
Marketing and Advertising
4.9%
Consulting
4.1%
Other
57.3%
Most Helpful Reviews
Cloudera
Most Helpful Favorable Review
Sean K.
Verified User in Information Technology and Services
Cloudera is very versatile for multiple use cases to handle data. Works will as data storage and can be used as a work horse to crunch large amount of data for Analytics purposes. Very happy with Cloudera and expanding our 17 node environment to 140...
Most Helpful Critical Review
Verified User in Information Technology and Services
Lacks strategy and vision, chases trends and defers core customers
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
Verified User in Airlines/Aviation
Too many customizations are needed to achieve the right mix of parameterization for optimal performance. On the other hand, snowflake provides lots of features out of the box without the developer worrying about these things.
Sean K.
Verified User in Information Technology and Services
Cloudera is very versatile for multiple use cases to handle data. Works will as data storage and can be used as a work horse to crunch large amount of data for Analytics purposes. Very happy with Cloudera and expanding our 17 node environment to 140...
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...
Verified User in Information Technology and Services
Lacks strategy and vision, chases trends and defers core customers
Verified User in Airlines/Aviation
Too many customizations are needed to achieve the right mix of parameterization for optimal performance. On the other hand, snowflake provides lots of features out of the box without the developer worrying about these things.
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 does Databricks software do?
2 comments
BR
Databricks is a unified analytics platform and it help us to connect the different sources of data and process it to the single platform which store, share...Read more
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