Users report that Cloudera Data Engineering excels in Data Ingestion & Wrangling with a score of 9.4, highlighting its robust capabilities for handling large datasets efficiently, while Red Hat OpenShift Data Science scores 8.9, indicating it may not be as strong in this area.
Reviewers mention that Cloudera's Ease of Setup is rated at 9.7, making it particularly user-friendly for new users, whereas Red Hat OpenShift Data Science lacks a score in this category, suggesting potential challenges in initial configuration.
G2 users emphasize Cloudera's superior Model Development features, with a score of 9.4 for both Pre-Built Algorithms and Model Training, while Red Hat OpenShift Data Science scores lower at 8.5 and 8.6 respectively, indicating a less comprehensive offering in this critical area.
Users on G2 highlight Cloudera's strong support for Machine/Deep Learning Services, particularly in Natural Language Processing with a score of 9.3, compared to Red Hat's 8.3, suggesting that Cloudera may provide more advanced tools for AI-driven projects.
Reviewers mention that Cloudera Data Engineering's Quality of Support is rated at 9.3, which is significantly higher than Red Hat OpenShift Data Science's 8.6, indicating that users may find Cloudera more responsive and helpful when issues arise.
Users say that Cloudera's Generative AI capabilities, particularly in AI Text Generation with a score of 9.5, outperform Red Hat's 8.3, suggesting that Cloudera offers more powerful tools for content creation and automation.
Pricing
Entry-Level Pricing
Cloudera Data Engineering
No pricing available
Red Hat OpenShift Data Science
No pricing available
Free Trial
Cloudera Data Engineering
No trial information available
Red Hat OpenShift Data Science
No trial information available
Ratings
Meets Requirements
9.2
23
8.8
23
Ease of Use
9.3
23
8.5
23
Ease of Setup
9.8
7
Not enough data
Ease of Admin
9.5
7
Not enough data
Quality of Support
9.2
22
8.6
21
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