Snowflake AI Data Cloud

What do you like best about the product?

What I like most about Snowflake is how easily it handles large volumes of data with great performance. The ability to separate storage and compute is a huge advantage, as it allows us to scale resources up or down based on demand. It integrates smoothly with BI tools and supports secure data sharing, which makes collaboration across teams much easier. Overall, it’s a very reliable and flexible data platform.

What do you dislike about the product?

The main drawback is that costs can increase quickly if workloads are not monitored closely. The pricing model requires careful management to avoid surprises. Additionally, for new users, some of the advanced features require a learning curve. However, once you get familiar with the platform, it works very effectively.

What problems is the product solving and how is that benefiting you?

As fraud analysts, we need to process very large datasets multiple times a day to detect anomalies and identify suspicious activity. Snowflake makes this possible by providing fast, reliable, and scalable data processing without slowing down. The ability to run complex queries on massive amounts of data in near real-time has improved the speed and accuracy of our investigations. It allows us to focus on insights rather than infrastructure, which is a big advantage in fraud detection.

What do you like best about the product?

I like Snowflake for its ease of use—the interface is intuitive, and writing queries is straightforward. Ease of implementation is great too, as connecting to BI tools and setting up warehouses is quick. The platform offers a large number of features, including time travel, cloning, and data sharing. Ease of integration with ETL tools and other cloud services makes workflows seamless. It’s very reliable, and customer support has been responsive when needed. Because of its speed and scalability, I use it frequently for daily analytics tasks.

What do you dislike about the product?

The main challenge is cost management, as frequent queries or large warehouses can get expensive if not optimized. Some advanced features take time to learn, and initial setup for certain integrations can be tricky. While customer support is helpful, detailed guidance for complex scenarios could be improved. Overall, it works well, but careful monitoring is needed to avoid overspending

What problems is the product solving and how is that benefiting you?

Snowflake centralizes large datasets from multiple sources, eliminating data silos and making querying fast and efficient. It solves issues with scalability, storage, and performance, allowing me to run analytics and reporting without worrying about infrastructure. This benefits me by saving time, improving accuracy, and enabling quick, data-driven decisions

What do you like best about the product?

1. Super Fast for large datasets even with a XS warehouse
2. Optimized Queries
3. Cortex Feature allows easy Querying

What do you dislike about the product?

1. Non OLTP
2. Doesn't show multiple outputs at once

What problems is the product solving and how is that benefiting you?

Querying as an OLAP layer.

What do you like best about the product?

What I love about Snowflake is how quickly it made working with large datasets feel effortless. I’ve run queries on billions of rows and still got results in seconds. The way it separates storage and compute means I can scale up for heavy workloads without overpaying when things are quiet. The interface feels familiar for anyone who knows SQL. I also appreciate how easy it is to share data securely with partners without the usual back-and-forth of exporting files.

What do you dislike about the product?

The main challenge I’ve faced is keeping compute costs in check. If you’re not careful with warehouse sizes or forgetting to suspend them, the bill can surprise you

What problems is the product solving and how is that benefiting you?

I’m currently using Snowflake as a central data warehouse while working with multiple datasets for proof-of-concepts (POCs) for my client. It allows me to quickly load, clean, and query large volumes of data without worrying about infrastructure setup or scaling. This flexibility helps me experiment with different data models and run complex queries efficiently, which speeds up POC delivery and decision-making for my client.

What do you like best about the product?

The data safety, comparable with many tools easier connectivity

What do you dislike about the product?

The UI is really bad. You can pin a query window. You have to switch to another tab

What problems is the product solving and how is that benefiting you?

Cloud Data warehouse allows you to store structured and unstructured data used for reporting purposes