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Compare Cloudera and Databricks Data Intelligence Platform 
At a Glance
Market Segments
Enterprise (51.5% of reviews)
Enterprise (44.3% 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
(463)4.6 out of 5
Market Segments
Enterprise (44.3% 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, 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
356
Ease of Use
7.7
30
8.9
359
Ease of Setup
7.8
18
8.7
243
Ease of Admin
7.2
18
8.1
104
Quality of Support
6.9
26
8.5
335
Has the product been a good partner in doing business?
7.8
15
8.6
104
Product Direction (% positive)
7.0
31
9.5
343
Features by Category
Administration
Not enough data
8.9
49
Not enough data
8.8
48
Not enough data
9.1
49
Not enough data
8.9
50
Management
Not enough data
8.5
48
Not enough data
8.7
48
Not enough data
8.7
48
Not enough data
8.5
48
Not enough data
8.7
48
Compliance
Not enough data
8.8
49
Not enough data
8.6
48
Not enough data
9.0
47
Not enough data
8.7
47
Security
Not enough data
9.0
46
Not enough data
9.0
48
Not enough data
9.0
48
Data Quality
Not enough data
8.9
48
Not enough data
8.6
48
Not enough data
9.1
48
Maintainence
Not enough data
8.9
48
Not enough data
9.0
48
Generative AI
Not enough data
8.7
47
Not enough data
8.7
47
Management
Not enough data
8.4
108
Not enough data
8.4
104
Functionality
Not enough data
9.1
111
Not enough data
9.2
112
Not enough data
9.1
113
Not enough data
9.0
106
Not enough data
9.1
109
Deployment
Not enough data
8.8
45
Not enough data
8.8
46
Not enough data
8.8
47
Not enough data
8.9
47
Not enough data
8.9
47
Deployment
Not enough data
8.8
45
Not enough data
8.7
46
Not enough data
8.4
49
Not enough data
8.8
48
Not enough data
9.0
48
Management
Not enough data
8.9
44
Not enough data
8.7
46
Not enough data
9.2
42
Not enough data
9.0
50
Operations
Not enough data
8.6
45
Not enough data
8.8
44
Not enough data
8.9
45
Management
Not enough data
8.8
45
Not enough data
8.6
44
Not enough data
9.2
42
Generative AI
Not enough data
8.3
11
Not enough data
7.9
11
System
Not enough data
8.8
120
Not enough data
8.6
115
Not enough data
8.0
116
Model Development
Not enough data
8.8
110
Not enough data
8.0
117
Not enough data
8.4
115
Not enough data
8.7
117
Model Development
Not enough data
8.5
114
Not enough data
8.7
119
Not enough data
8.6
117
Machine/Deep Learning Services
Not enough data
8.3
106
Not enough data
8.6
111
Not enough data
8.3
104
Not enough data
8.3
106
Machine/Deep Learning Services
Not enough data
8.3
106
Not enough data
8.4
107
Not enough data
8.3
106
Not enough data
8.5
108
Deployment
Not enough data
8.5
110
Not enough data
8.8
114
Not enough data
9.0
118
Deployment
Not enough data
8.5
113
Not enough data
8.7
119
Not enough data
8.9
119
Generative AI
Not enough data
8.0
38
Not enough data
8.2
38
Not enough data
7.8
37
Data Management
Not enough data
9.1
146
|
Verified
Not enough data
8.9
145
|
Verified
Not enough data
8.8
141
|
Verified
Not enough data
8.7
143
|
Verified
Not enough data
8.6
133
|
Verified
Not enough data
9.0
136
|
Verified
Integration
Not enough data
8.8
132
|
Verified
Not enough data
8.7
133
|
Verified
Not enough data
9.0
142
|
Verified
Deployment
Not enough data
7.7
122
|
Verified
Not enough data
9.1
143
|
Verified
Performance
Not enough data
9.1
143
|
Verified
Security
Not enough data
8.7
134
|
Verified
Not enough data
8.8
135
|
Verified
Generative AI
Not enough data
8.3
46
Not enough data
8.2
45
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
8.9
46
Not enough data
8.4
45
Not enough data
8.5
46
Not enough data
9.1
44
Analytics
Not enough data
8.8
44
Not enough data
8.6
43
Monitoring and Management
Not enough data
8.3
44
Not enough data
8.3
44
Cloud Deployment
Not enough data
9.1
41
Not enough data
9.1
41
Generative AI
Not enough data
8.4
15
Not enough data
8.7
15
Database
7.8
10
8.7
145
8.8
10
8.9
151
8.1
8
9.2
152
Integrations
8.7
10
8.3
137
8.1
9
9.2
155
Platform
9.2
6
9.0
149
7.5
8
8.8
152
8.1
9
9.2
155
Processing
7.8
6
8.9
152
8.1
8
9.0
151
Data Transformation
7.0
9
|
Verified
8.8
174
8.3
6
|
Verified
9.0
181
Connectivity
9.0
10
|
Verified
8.6
158
9.1
9
|
Verified
9.2
180
8.5
9
|
Verified
9.0
172
9.0
8
|
Verified
9.2
181
Operations
7.5
8
|
Verified
8.4
179
8.0
9
|
Verified
8.8
174
7.9
7
|
Verified
8.6
162
Feature Not Available
8.7
162
8.7
5
|
Verified
9.3
175
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
17.1%
Financial Services
9.8%
Computer Software
9.1%
Marketing and Advertising
4.4%
Consulting
4.0%
Other
55.7%
Most Helpful Reviews
Cloudera
Most Helpful Favorable Review
Verified User in Telecommunications
Impala's performance - see consistenly high performance compared to HiveQL; Cloudera Manager is easy to understand; provides complete Big Data applications stack on Hadoop HDFS
Most Helpful Critical Review
Mario C.
Verified User in Computer Software
Cloudera has very little things to not like it until it fails for some (usually) unknown reason. Crashes are not common but it's very annoying when it happens on a very long job. When we deal with distributed systems, however, failures are a very common...
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...
Verified User in Telecommunications
Impala's performance - see consistenly high performance compared to HiveQL; Cloudera Manager is easy to understand; provides complete Big Data applications stack on Hadoop HDFS
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...
Mario C.
Verified User in Computer Software
Cloudera has very little things to not like it until it fails for some (usually) unknown reason. Crashes are not common but it's very annoying when it happens on a very long job. When we deal with distributed systems, however, failures are a very common...
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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