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- Databricks Data Intelligence Platform-vs-Google Cloud Dataproc
Compare Databricks Data Intelligence Platform and Google Cloud Dataproc 
At a Glance
Market Segments
Enterprise (46.9% of reviews)
Mid-Market (45.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks 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 PlatformGoogle Cloud Dataproc
Star Rating
(22)4.4 out of 5
Market Segments
Mid-Market (45.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Google Cloud DataprocSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the Databricks Data Intelligence Platform excels in Workflow Management with a score of 9.3, making it a preferred choice for teams needing efficient process automation. In contrast, Google Cloud Dataproc has a lower score of 8.6 in this area, indicating it may not be as robust for complex workflows.
- Reviewers mention that Databricks offers superior Data Lake Analytics capabilities, scoring 9.1, which allows for more effective data handling and analysis compared to Google Cloud Dataproc, which scored 8.1. This difference is crucial for enterprises focusing on large-scale data operations.
- G2 users highlight that Google Cloud Dataproc shines in Hadoop Integration with a score of 9.0, making it a better option for organizations heavily invested in Hadoop ecosystems. Meanwhile, Databricks scored 8.2, suggesting it may not integrate as seamlessly with Hadoop.
- Users on G2 report that Databricks has a more comprehensive Model Registry feature, scoring 8.9, which is essential for managing machine learning models effectively. In comparison, Google Cloud Dataproc scored 8.2, indicating a less robust offering in this critical area.
- Reviewers mention that Google Cloud Dataproc provides better Scalability with a score of 8.9, which is vital for businesses anticipating rapid growth. Databricks scored 8.7, which, while still good, may not meet the needs of all scaling scenarios.
- Users say that Databricks has a more user-friendly Ease of Use rating of 8.7 compared to Google Cloud Dataproc's 9.0. This suggests that while Dataproc is easier to set up, Databricks may offer a more intuitive experience once users are familiar with the platform.
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Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableGoogle Cloud Dataproc
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Google Cloud Dataproc
No trial information availableRatings
Meets Requirements
8.9
494
9.0
14
Ease of Use
8.8
503
9.2
14
Ease of Setup
8.7
376
7.7
5
Ease of Admin
8.3
162
Not enough data
Quality of Support
8.7
469
8.9
14
Has the product been a good partner in doing business?
8.8
165
Not enough data
Product Direction (% positive)
9.6
483
8.4
15
Features by Category
Administration
8.7
83
Not enough data
8.6
80
Not enough data
9.0
81
Not enough data
8.6
82
Not enough data
Management
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
Not enough data
Compliance
8.8
81
Not enough data
8.6
80
Not enough data
8.9
79
Not enough data
8.7
79
Not enough data
Security
9.0
72
Not enough data
8.9
74
Not enough data
8.8
74
Not enough data
Data Quality
8.9
81
Not enough data
8.7
80
Not enough data
9.0
78
Not enough data
Maintainence
8.8
73
Not enough data
8.8
72
Not enough data
Generative AI
8.5
71
Not enough data
8.5
70
Not enough data
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
8.6
161
Not enough data
8.5
155
Not enough data
Functionality
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
Not enough data
Deployment
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
Not enough data
Deployment
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
Not enough data
Management
8.9
59
Not enough data
8.8
61
Not enough data
9.2
57
Not enough data
9.0
65
Not enough data
Operations
8.7
60
Not enough data
8.8
59
Not enough data
9.0
60
Not enough data
Management
8.8
59
Not enough data
8.7
58
Not enough data
9.1
57
Not enough data
Generative AI
8.3
26
Not enough data
8.3
26
Not enough data
System
8.8
168
Not enough data
8.7
163
Not enough data
8.1
164
Not enough data
Model Development
8.7
171
Not enough data
7.9
177
Not enough data
8.3
174
Not enough data
8.6
176
Not enough data
Model Development
8.4
162
Not enough data
8.7
166
Not enough data
8.5
164
Not enough data
Machine/Deep Learning Services
8.1
163
Not enough data
8.5
168
Not enough data
8.2
160
Not enough data
8.2
162
Not enough data
Machine/Deep Learning Services
8.2
151
Not enough data
8.4
149
Not enough data
8.4
149
Not enough data
8.5
151
Not enough data
Deployment
8.5
166
Not enough data
8.7
169
Not enough data
9.0
173
Not enough data
Deployment
8.5
156
Not enough data
8.7
162
Not enough data
8.8
160
Not enough data
Generative AI
8.3
80
Not enough data
8.5
80
Not enough data
7.6
79
Not enough data
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
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
Not enough data
Integration
8.8
156
|
Verified
Not enough data
8.8
156
|
Verified
Not enough data
9.0
164
|
Verified
Not enough data
Deployment
7.8
145
|
Verified
Not enough data
9.1
166
|
Verified
Not enough data
Performance
9.1
166
|
Verified
Not enough data
Security
8.8
157
|
Verified
Not enough data
8.9
158
|
Verified
Not enough data
Generative AI
8.5
68
Not enough data
8.4
67
Not enough data
Data Management
9.0
60
Not enough data
8.6
59
Not enough data
8.7
60
Not enough data
9.1
57
Not enough data
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
8.9
58
Not enough data
8.5
57
Not enough data
Monitoring and Management
8.6
58
Not enough data
8.4
58
Not enough data
Cloud Deployment
9.1
54
Not enough data
9.0
55
Not enough data
Generative AI
8.9
29
Not enough data
9.0
29
Not enough data
Database
8.7
202
8.1
8
8.9
208
8.8
8
9.3
209
8.1
8
Integrations
8.2
191
9.0
8
9.2
211
9.4
8
Platform
9.0
204
9.2
8
8.8
207
7.9
8
9.2
211
9.4
8
Processing
9.0
204
9.0
8
9.0
203
8.3
8
Data Transformation
8.8
210
Not enough data
9.0
217
Not enough data
Connectivity
8.6
193
Not enough data
9.2
216
Not enough data
9.0
208
Not enough data
9.2
216
Not enough data
Operations
8.4
214
Not enough data
8.8
209
Not enough data
8.6
198
Not enough data
8.6
196
Not enough data
9.3
211
Not enough data
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
Categories
Categories
Shared Categories
Databricks Data Intelligence Platform and Google Cloud Dataproc are categorized as ETL Tools and Big Data Processing and Distribution
Unique Categories
Databricks Data Intelligence Platform is categorized as DataOps Platforms, MLOps Platforms, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Data Governance
Google Cloud Dataproc has no unique categories
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud Dataproc
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
14.6%
Financial Services
11.8%
Computer Software
7.7%
Consulting
4.0%
Hospital & Health Care
3.9%
Other
58.0%
Information Technology and Services
30.0%
Retail
10.0%
Computer Software
10.0%
Consulting
5.0%
Real Estate
5.0%
Other
40.0%
Most Helpful Reviews
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...
Google Cloud Dataproc
Most Helpful Favorable Review
Edgar A.
Verified User in Retail
A great tool that maybe is not as popular as AWS EMR, but that punches above its weight. An elegant implementation.
Most Helpful Critical Review
Verified User in Telecommunications
need to support redhat or other linux os
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...
Edgar A.
Verified User in Retail
A great tool that maybe is not as popular as AWS EMR, but that punches above its weight. An elegant implementation.
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
need to support redhat or other linux os
Alternatives
Discussions
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
Google Cloud Dataproc has no discussions with answers
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