I like the concept of having a commercial usage license which is essential for my work.
The performance is quite slow, especially when connecting large datasets, which hampers productivity.
It should help with data integration, but in practice, I've had numerous issues that make it more of a hurdle than a solution.
I appreciate the idea of connecting datasets from different cloud services like S3 and GCP, which theoretically can streamline data access.
The interface is quite confusing, and I found the documentation lacking in depth. It took me a while to figure out how to utilize the features effectively.
It helps in data integration, but the lack of clear guidance means I'm not fully leveraging its capabilities, which makes it less beneficial for my projects.
The customer support is commendable, and they are willing to help with any issue I encounter.
I would prefer a more intuitive user interface; it can be quite overwhelming at times.
It enables data connection across platforms, which is crucial for my data analysis tasks, thus saving me time.
The dedicated support feature is a plus. Whenever I had issues, the support team was responsive.
The learning curve is quite steep, and I found the initial setup to be frustrating and time-consuming.
Cerelyze helps me integrate data from various sources, but it has not significantly improved the accuracy of my models yet.
The potential for better data modeling is promising, and I see that it can connect to multiple cloud services.
The lack of tutorials and user-friendly guides makes it challenging for new users like me.
It has the potential to consolidate data, but I still struggle to see the impact on my modeling accuracy.