Users report that Aquarium excels in Edge Case Discovery with a score of 9.7, highlighting its ability to identify rare scenarios effectively, while Amazon Augmented AI falls behind with a score of 8.4, indicating less efficiency in this area.
Reviewers mention that Aquarium's Model Training Efficiency is rated at 9.2, showcasing its streamlined processes, whereas Amazon Augmented AI's score of 8.7 suggests it may require more manual intervention during training.
G2 users appreciate Aquarium's Smart Data Triage feature, scoring 9.3, which helps prioritize data effectively, while Amazon Augmented AI's score of 8.6 indicates it may not be as adept at managing data priorities.
Users on G2 highlight that Aquarium provides superior Actionable Insights for Data Quality with a score of 9.3, allowing for better data management decisions, compared to Amazon Augmented AI's score of 8.8.
Reviewers say that Aquarium's Fine-tuning Model Accuracy feature, rated at 9.4, significantly enhances model performance, while Amazon Augmented AI's score of 8.8 suggests it may not offer the same level of precision in model adjustments.
Users report that Aquarium's Automated Model Retraining feature, with a score of 8.8, is more effective than Amazon Augmented AI's 8.6, indicating that Aquarium may provide a more seamless experience in keeping models updated.
Pricing
Entry-Level Pricing
Amazon Augmented AI
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Aquarium
No pricing available
Free Trial
Amazon Augmented AI
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Aquarium
No trial information available
Ratings
Meets Requirements
8.6
59
9.0
14
Ease of Use
8.7
60
9.2
14
Ease of Setup
8.4
58
9.2
13
Ease of Admin
6.8
11
Not enough data
Quality of Support
8.9
56
9.1
13
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