
The range of features is impressive—it can detect data drift, bias, data integrity issues, and performance degradation in production ML models. The platform is very user-friendly, offering a straightforward monitor builder that allows you to set up over 50 customizable monitors within minutes. Implementation was fast; I was able to access detailed dashboards for live models just minutes after integrating. I use it daily to monitor production models. Integration is flexible, supporting both automated monitors and code-based Python monitors for custom logic. AI guardrails are effective at detecting and resolving errors in real time, including hallucinations and prompt attacks. The embedding monitoring feature is also valuable for optimizing language model performance. Review collected by and hosted on G2.com.
Since Coralogix acquired in December 2024, the future direction of the product has become uncertain, as it is now being integrated into a broader platform. Access now requires a full Coralogix subscription, which is pricier than when Aporia was available as a standalone product. Customer support has also been in a state of transition following the acquisition. The custom dashboard builder presents a learning curve, especially for more complex scenarios. Additionally, the documentation could offer more depth for those seeking advanced customization. Some features still feel like they are in the early stages and would benefit from further refinement. Review collected by and hosted on G2.com.
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