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Loved the customisable dashboard! Very user friendly.
What do you like best about the product?
Loved that Aporia allowed me to share my findings with other in a very easy way!
What do you dislike about the product?
I did not find any improvement suggestions.
What problems is the product solving and how is that benefiting you?
Aporia is a powerful data quality monitoring platform that has made my and my team’s job easier and more effective. It automates identifying data anomalies and detecting data drift in real time, reducing the time and effort required for manual data quality checks. Aporia's integration with our existing data stack allows us to easily incorporate it into our workflows and pipelines, while it's detailed data lineage and versioning information make it easy to track and troubleshoot data issues. Aporia continues to be a game-changer in improving the quality and reliability of our data pipelines.
Quick and easy model monitoring
What do you like best about the product?
I like best that I am now able to easily monitor my models on Databricks.
Aporia can automatically create a Databricks data source which allows me to monitor and train my datasets
Aporia can automatically create a Databricks data source which allows me to monitor and train my datasets
What do you dislike about the product?
The UI is simple, but it gets things done.
I'd love for dark theme support
I'd love for dark theme support
What problems is the product solving and how is that benefiting you?
Aporia helps me train my ML models, linking my datasets with SQL queries which is very easy to use.
And also the way they map my model's inputs and predictions saves me a lot of time and manual work.
And also the way they map my model's inputs and predictions saves me a lot of time and manual work.
Helped realize value of ML for multiple stakeholders
What do you like best about the product?
Aporia's monitoring and production visibility allowed me to make more accurate predictions based on my data, which was incredibly valuable for my company .
What do you dislike about the product?
would be great to have more options for triggering automation based on specific data events. It's understandable
What problems is the product solving and how is that benefiting you?
gives me confidence that our ML models are performing at their best. Detecting and addressing issues promptly helps us keep the accuracy and effectiveness of our models, enabling us to stay ahead of the competition and provide exceptional outcomes for our business. Having the assurance that our models are working as intended provides a sense of security that is priceless.
Innovative, easy to use and great support
What do you like best about the product?
The fact that integrating Aporia with other tools and data sources was seamless and easy.
We are using Aporia to monitor our data pipelines mostly in Athena.
This has increased are data visibility and enabled us to troubleshoot issues a lot easier.
We are now working on other locations.
We are using Aporia to monitor our data pipelines mostly in Athena.
This has increased are data visibility and enabled us to troubleshoot issues a lot easier.
We are now working on other locations.
What do you dislike about the product?
I can't think of something specific.
Once when we needed customer support they responded pretty quickly.
I've seen more effecient customer support but I was generaly satisfied.
Once when we needed customer support they responded pretty quickly.
I've seen more effecient customer support but I was generaly satisfied.
What problems is the product solving and how is that benefiting you?
Aporia is helping us monitor our data and finding bugs in our data pipelines.
With Aporia it takes us a lot less time to QA our work which we would've done manually until today.
The way they integrate easily with our data sources, e.g Athena, made it possible for us to automate our QA and focus on our development.
With Aporia it takes us a lot less time to QA our work which we would've done manually until today.
The way they integrate easily with our data sources, e.g Athena, made it possible for us to automate our QA and focus on our development.
A great ML monitoring security platform
What do you like best about the product?
Giving Aporia's amazing security feature, allowed me to be more aware of my data and make more accurate predictions on my data.
What do you dislike about the product?
The UI could be better, but it still works just fine.
What problems is the product solving and how is that benefiting you?
The benefits of the on-point monitoring help us make decisions towards our ML modules to make them more efficient and accurate and also it helps us be more aware of occurring problems and errors.
Aporia provides a brand new ML product with a great and easy to navigate UI dashboard
What do you like best about the product?
The pruduct helps with its great dashboard turning ML models into actions. Aporia's integrations made my life much better as now I can do everything I need to see regarding my ML models in one place. It's awesome!
What do you dislike about the product?
As far as I use that great product, not any negative points came to my mind. Maybe improve the quick response of their support team will make this product even better.
What problems is the product solving and how is that benefiting you?
I am a software engineer from my point of view, Aporia helps me quickly identify and realize bugs in my models and also helps me with model degradation. My previous way of doing it was horrible and caused me to waste time.
Great ML Monitoring Platform + Excellent Customer Service
What do you like best about the product?
- intuitive UI
- NLP-related features
- excellent customer service and relationship management
- NLP-related features
- excellent customer service and relationship management
What do you dislike about the product?
- nothing :)
- one improvement could be to make alarms more actionable
- one improvement could be to make alarms more actionable
What problems is the product solving and how is that benefiting you?
Aporia helps us monitor our production ML models such that we can make sure they perform at their best.
A great ML monitoring platform!
What do you like best about the product?
Intuitivve interface that provides great insights on ML
What do you dislike about the product?
It would be great to have more events and automatic triggering
What problems is the product solving and how is that benefiting you?
We needed a platform to monitor our language models in production, so we would know where to do improvements and be on top of issues.
AI product Analyst
What do you like best about the product?
It's a fast developing and intuitive solution. They ask for feedback and implement solutions actively.
What do you dislike about the product?
I have nothing to dislike. They are fast to find solutions to their problems.
What problems is the product solving and how is that benefiting you?
It keeps monitoring new models easy.
Feature-rich ML monitoring platform who put their users first
What do you like best about the product?
In a space that is developing fast and offerings multiple competing solutions, Aporia set themselves apart by listening closely to what their users need and responding accordingly. Their platform is full of great features and they consistently adopt sensible, intuitive approaches to managing the variety of models, datasets and deployment workflows that characterize most ML projects. They actively seek feedback and are quick to implement solutions to address pain points and meet needs as they arise.
What do you dislike about the product?
Given that specialized monitoring platforms are still a relatively new feature of the ML industry, certain technical issues are still being ironed out, and Aporia is no exception. However, their rate of iteration and responsiveness to feedback means these issues are quickly resolved.
What problems is the product solving and how is that benefiting you?
Aporia offers a solution to a problem that more and more companies face as the commercial application of ML becomes more widespread. That problem is ensuring that machine learning models trained on historical data maintain their performance on new data seen in production, as data generation processes and target populations can differ between training and inference. This should be a primary focus for any company that hopes to use ML to produce long-term business value, and is also becoming increasingly more important from a regulatory perspective
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