The data visualization tools are quite impressive and provide a clear picture of complex datasets.
I find the self-service insights feature lacking in depth compared to competing tools in the market.
It does help in providing some insights, but I often feel like I'm not getting the full potential from the data.
I love the data glossary feature. It makes it easier to understand relationships between different data sets.
The initial setup took longer than expected, and I felt there could be better onboarding resources.
It significantly reduces the amount of time we spend on manual data integration, allowing my team to focus on analytics instead.
The AI-powered insights are quite valuable when they work, particularly for identifying trends in large datasets.
The real-time log search feature is often slow and can be frustrating when you need immediate results.
It helps in gathering insights from data, but the execution isn't always smooth, which can delay decision-making processes.
The concept of unifying data sources is great, but unfortunately, the execution falls short.
The platform is riddled with bugs and frequently crashes, which is incredibly frustrating during critical tasks.
It claims to streamline data operations, but in reality, it adds to the confusion rather than clarifying data insights.
I appreciate the idea of having a unified view of data, which can definitely improve visibility across teams.
The interface feels cluttered and not very intuitive. It can be hard to navigate through the features, especially for new users.
While it attempts to streamline data operations, I still find myself spending a lot of time on data wrangling, which defeats the purpose.