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- Databricks Data Intelligence Platform-vs-Red Hat OpenShift Data Science
Compare Databricks Data Intelligence Platform and Red Hat OpenShift Data Science 
At a Glance
Market Segments
Enterprise (47.3% of reviews)
Mid-Market (44.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks 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 PlatformRed Hat OpenShift Data Science
Star Rating
(25)4.4 out of 5
Market Segments
Mid-Market (44.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Red Hat OpenShift Data ScienceSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the Data Lake feature in Databricks Data Intelligence Platform is highly praised for its ability to handle large datasets efficiently, while reviewers mention that Red Hat OpenShift Data Science's Data Lake capabilities are robust but may require more configuration to achieve similar performance.
- Reviewers mention that Databricks excels in Machine Learning Services, particularly with its support for Deep Learning and Natural Language Processing, which users find intuitive and powerful. In contrast, users on G2 report that Red Hat's offerings in these areas are solid but lack some of the advanced features found in Databricks.
- G2 users highlight the Workflow Management capabilities of Databricks, noting its user-friendly interface and seamless integration with other tools. Users report that Red Hat OpenShift Data Science provides similar functionality but can be more complex to navigate, which may hinder user experience.
- Users say that Databricks' Data Integration features are top-notch, allowing for easy connections to various data sources. Conversely, reviewers mention that while Red Hat offers good Data Integration, it may not be as extensive or straightforward as Databricks, leading to longer setup times.
- Reviewers mention that the Quality of Support for Databricks is commendable, with many users appreciating the responsiveness and expertise of the support team. In comparison, users report that Red Hat's support is reliable but can sometimes be slower to respond, particularly during peak times.
- Users on G2 highlight the Scalability of Databricks, stating that it handles increased workloads effortlessly, making it ideal for enterprise-level applications. In contrast, while Red Hat OpenShift Data Science is also scalable, users report that it may require more manual adjustments to optimize performance under heavy loads.
Featured Products
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Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableRed Hat OpenShift Data Science
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Red Hat OpenShift Data Science
No trial information availableRatings
Meets Requirements
8.8
298
8.8
23
Ease of Use
8.8
299
8.5
23
Ease of Setup
8.6
184
Not enough data
Ease of Admin
8.1
89
Not enough data
Quality of Support
8.5
278
8.6
21
Has the product been a good partner in doing business?
8.5
89
Not enough data
Product Direction (% positive)
9.5
284
10.0
23
Features by Category
Administration
8.4
18
Not enough data
8.8
17
Not enough data
9.0
19
Not enough data
8.8
20
Not enough data
Management
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
Not enough data
Compliance
8.8
19
Not enough data
8.5
18
Not enough data
8.7
18
Not enough data
8.1
18
Not enough data
Security
8.8
17
Not enough data
9.0
18
Not enough data
8.9
18
Not enough data
Data Quality
8.9
18
Not enough data
8.2
18
Not enough data
8.9
18
Not enough data
Maintainence
8.7
18
Not enough data
8.5
18
Not enough data
Generative AI
8.5
18
Not enough data
8.9
18
Not enough data
Management
8.3
84
Not enough data
8.3
80
Not enough data
Functionality
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
Not enough data
Deployment
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
Not enough data
Deployment
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
Not enough data
Management
8.8
34
Not enough data
8.6
35
Not enough data
9.2
31
Not enough data
8.9
39
Not enough data
Operations
8.4
35
Not enough data
8.6
34
Not enough data
8.8
35
Not enough data
Management
8.7
35
Not enough data
8.3
34
Not enough data
9.2
32
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
System
8.8
93
8.9
22
8.6
88
9.1
23
7.7
89
8.7
23
Model Development
8.7
83
8.8
23
7.8
90
8.8
23
8.3
88
8.7
23
8.8
90
8.6
23
Model Development
8.4
87
8.5
22
8.7
92
8.6
22
8.5
90
8.8
23
Machine/Deep Learning Services
8.2
79
8.5
22
8.6
84
8.3
20
8.2
77
8.6
20
8.1
80
8.3
20
Machine/Deep Learning Services
8.1
79
8.8
22
8.3
80
8.6
20
8.1
79
8.6
20
8.4
81
8.7
21
Deployment
8.4
84
8.6
22
8.7
88
8.8
22
8.8
92
8.5
22
Deployment
8.4
86
8.8
23
8.6
92
8.7
23
8.8
92
8.6
23
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Data Management
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
Not enough data
Integration
8.7
100
|
Verified
Not enough data
8.6
101
|
Verified
Not enough data
8.9
110
|
Verified
Not enough data
Deployment
7.6
90
|
Verified
Not enough data
9.0
111
|
Verified
Not enough data
Performance
9.0
112
|
Verified
Not enough data
Security
8.5
103
|
Verified
Not enough data
8.6
104
|
Verified
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Data Management
9.0
34
Not enough data
8.3
33
Not enough data
8.4
34
Not enough data
9.0
32
Not enough data
Analytics
8.6
32
Not enough data
8.4
31
Not enough data
Monitoring and Management
8.2
32
Not enough data
8.2
32
Not enough data
Cloud Deployment
9.2
29
Not enough data
9.1
29
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Database
8.5
112
Not enough data
8.8
119
Not enough data
9.2
119
Not enough data
Integrations
8.3
104
Not enough data
9.1
121
Not enough data
Platform
8.9
115
Not enough data
8.7
119
Not enough data
9.1
121
Not enough data
Processing
8.9
118
Not enough data
8.9
118
Not enough data
Data Transformation
8.6
133
Not enough data
8.9
140
Not enough data
Connectivity
8.5
117
Not enough data
9.1
139
Not enough data
8.9
131
Not enough data
9.1
140
Not enough data
Operations
8.2
138
Not enough data
8.7
133
Not enough data
8.4
121
Not enough data
8.4
121
Not enough data
9.3
135
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 Red Hat OpenShift Data Science are categorized as Data Science and Machine Learning Platforms
Unique Categories
Databricks Data Intelligence Platform is categorized as DataOps Platforms, MLOps Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Warehouse, and Data Governance
Red Hat OpenShift Data Science 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.)
Red Hat OpenShift Data Science
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
15.1%
Computer Software
10.5%
Financial Services
8.2%
Marketing and Advertising
4.9%
Consulting
4.1%
Other
57.3%
Market Research
32.0%
Marketing and Advertising
20.0%
Information Technology and Services
8.0%
Computer Software
8.0%
Transportation/Trucking/Railroad
4.0%
Other
28.0%
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
Reeham N.
Verified User in Investment Banking
This tool is not optimized for R users. They were supposed to have an update Q1 for R studio but their help team informed me that this was no longer a priority. Even so, heavy AI and machine learning algorithms are not optimized for use here besides the...
Red Hat OpenShift Data Science
Most Helpful Favorable Review
Shruti S.
Verified User in Market Research
The user experience is good. Easy to navigate and learn. Document and reporting is easy
Most Helpful Critical 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...
Shruti S.
Verified User in Market Research
The user experience is good. Easy to navigate and learn. Document and reporting is easy
Reeham N.
Verified User in Investment Banking
This tool is not optimized for R users. They were supposed to have an update Q1 for R studio but their help team informed me that this was no longer a priority. Even so, heavy AI and machine learning algorithms are not optimized for use here besides the...
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 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
Red Hat OpenShift Data Science has no discussions with answers
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