Snowflake AI Data Cloud

What do you like best about the product?

This is much better than what we used in the past. The interface is improved, it’s simple to use, and it’s accessible via Claude, which makes it easy to get to when I need it.

What do you dislike about the product?

Doing a migration from one database to Snowflake was a bit of a hassle, but it works better now.

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

Having quick access to all our customer data is super essential in marketing. It helps us with segmentation, evaluating the performance of our campaigns, and understanding where our customers are and what they value.

What do you like best about the product?

Low operational overhead: It’s fully managed, which lets teams focus on data and analysis instead of spending time on database administration.

What do you dislike about the product?

There’s an initial learning curve, and at times it can feel difficult for new users.

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

It solves the problem of data being scattered, slow to access, and difficult to scale.

What do you like best about the product?

Easy to setup for any kind of company. Gold standard for ETL using ecosystem tools like Fivetran or dbt. Easy adoption as it's purely SQL based. Pay as you go pricing with no infra setup and multi-year commitment. AI ecosystem is also evolving as pure SQL functions so that we don't need to do plumbing of low-level code to make it work. Top-notch performance of query and great user experience.

What do you dislike about the product?

Specifically the snowspark area. It has its own ecosystem but most of the work is done in SQL.

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

ETL and Datawarehousing Realtime data Support enterprise BI layer Adhoc query Usecases dependent on analytical data already stored in snowflake

What do you like best about the product?

Easy to use. Appealing UI. Fast cloud services.

What do you dislike about the product?

Accessing data without an SQL query isn’t very straightforward.

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

Accessing data. Data catalog.

What do you like best about the product?

I’ve been using Snowflake for about a year, mainly to pull data into and push data back from Mendix applications, and what I like best is how easy it is to work with. Integration with Mendix is simple, and the Snowflake connector module available in the Mendix Marketplace makes it even easier. I can connect, run queries, and write data back without building a lot of custom plumbing, and the connection has been reliable. Queries return quickly even on large tables, and I rarely have to think about tuning or infrastructure. Compute and storage are separated, so heavy workloads don’t slow down other users or processes, which matters when an app depends on near-real-time data.

The web interface is also clean and easy to navigate. I can write and test SQL, check query history, and manage roles and warehouses without much of a learning curve. Overall it’s a stable, scalable platform that takes a lot of the database administration work off my plate, so I can focus on the integration logic.

What do you dislike about the product?

The initial setup around roles, privileges, and authentication takes some effort when connecting an external app like Mendix, and the documentation has few examples for specific integration scenarios. Snowsight’s editor is also a bit limited compared to dedicated SQL tools, and support response times on non-urgent tickets can be slow, but these are minor issues overall.

Also, no native desktop client, so I rely on third-party tools when needed.

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

Snowflake gives us a single, central place for data that used to be scattered across multiple systems, so our Mendix apps can pull data from it and push data back without custom database work. It removes most of the infrastructure and tuning effort, so I spend my time on the integration logic rather than managing servers. Because compute and storage scale separately, heavy reporting or data loads don’t slow down our apps, and the Mendix Snowflake connector module makes the integration quick to set up. The result is faster delivery, more reliable data in our applications, and less maintenance.

What do you like best about the product?

I like Coco a lot, and I find it easy to use for people at any level of technical expertise.

What do you dislike about the product?

I dislike the recent changes. There seem to be a lot of updates every week, and it’s not easy to keep up with them. Maybe if we knew what was happening ahead of time, it would be easier to adapt.

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

Snowflake is helping us ingesting data from different data sources and it acts like a centralized data platform.

What do you like best about the product?

The workspace lets you query using SQL, use the Notebooks feature, and even work with an integrated Streamlit app option. I also like the resource monitoring and the ability to choose the warehouse size, which are both useful features.

What do you dislike about the product?

It tends to load some data a bit slowly when I’m working with huge tables. Also, sometimes the error it logs for a bad or failed query is just an alphanumeric code, which I can’t understand.

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

It helps with storing databases and working with those tables. It includes Cortex AI as a feature, which helps in understanding the data for each table. Metadata for tables and schemas can be found easily. It also has role-based access control, which hides sensitive data from users who shouldn’t see it. In addition, it has a resource monitor to help maintain costs.

What do you like best about the product?

What I like most about Snowflake is the clear separation of compute and storage. With this architecture, we can scale virtual warehouses up or down smoothly without affecting performance or driving up storage costs. Query execution stays exceptionally fast, even with massive datasets, and zero-copy cloning makes it easy to spin up development and staging environments when we need them.

Snowflake also removes much of the heavy lifting that comes with traditional data warehouse management. There’s little to no infrastructure to manage and far less complex tuning, which lets our engineering team spend more time on analytics and data modeling instead of ongoing maintenance. The web interface (Snowsight) is intuitive, and support for standard ANSI SQL makes onboarding straightforward for both developers and analysts.

What do you dislike about the product?

The cost can scale rapidly and unpredictably if Virtual Warehouse auto-suspend times and query optimization aren't closely monitored. The credit-based pricing model makes budgeting difficult, especially for teams running long analytical queries or frequent background data ingestion jobs.
Snowflake's integrated AI and ML capabilities (like Cortex AI and LLM functions) make it easy to run intelligence models directly next to our data. However, running these AI workloads and processing large datasets can become extremely expensive very quickly. The credit consumption for AI features adds up fast, making cost management and budget forecasting difficult.

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

Snowflake solves the core issue of scaling data processing and advanced analytics without managing heavy physical infrastructure. It allows us to centralize disparate datasets and leverage built-in AI/ML models (like Cortex AI) directly next to our data. This eliminates complex ETL pipelines and vastly speeds up query performance. However, because running continuous workloads and heavy AI queries consumes a high number of compute credits, keeping operational costs manageable remains a primary challenge.

What do you like best about the product?

Easy to use, and it doesn’t require much knowledge beyond basic SQL for general users.

What do you dislike about the product?

You have less possibility to make changes or be flexible; everything feels tightly developed and controlled by them.

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

It enables analytics users to consume data in Power BI (PBI) and other downstream applications.

What do you like best about the product?

It’s great to have data warehousing, data lakes, data engineering, and data sharing unified in a single service.

What do you dislike about the product?

The response times can be slow, although it makes sense since it’s built for analytical processing rather than low-latency, user-facing applications.

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

It handles large amounts of data on an hourly basis.