Computing speed can be easily scalable up and down based on requirement. No need to worry about performance as it will be taken care of by Snowflake itself; high-volume data access via SQLs are very fast. More AI features added with semantic view, snow-park and agents. Review collected by and hosted on G2.com.

Slightly expensive compared to their peers. Need to have explicit control to share Agentic AI via snowPark Review collected by and hosted on G2.com.

Snowflake’s UI has improved quite a lot, and it’s intuitive to use. It integrates well with Azure Storage account containers and queues through integrations. Query performance can vary depending on the warehouse you choose. Pricing also varies based on the Snowflake account tier you have (such as Standard or Enterprise). Snowflake documentation and support are really good, especially when it comes to administrative work. It also has great AI capabilities with CoCo (Cortex Code). Review collected by and hosted on G2.com.

Some menus on the UI side are buried too deep, so navigating through them can be a task in itself for new users (and even for experienced people who haven’t used Snowflake in a while). This part of the UI needs improvement. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I use Snowflake to manage and analyze large amounts of data in one central cloud platform and bring data from different sources together. I like its scalability, flexibility, and ease of use. It lets me manage large amounts of data without worrying too much about storage or infrastructure, and it processes queries quickly. I find virtual warehouses useful because I can adjust computing power to my needs, improve performance, and control costs. Snowflake also makes it easier to analyze data, share data, manage workloads, and generate reports. I like how it separates storage and computing and helps me handle different workloads efficiently. Setting up an account, accessing the platform, and setting up an initial database and virtual warehouse were manageable and straightforward. Review collected by and hosted on G2.com.

I think Snowflake’s user interface could be more intuitive, and I’d like clearer cost management tools with better insight into storage and spending. Review collected by and hosted on G2.com.

Easy data loading, transformation and querying, simplified development and testing with features such as data sharing, time travel and zero copy clones. Reduce time spent on tedious administration tasks. Share live, governed data sets securely between organizations, clouds or regions in an instant without duplicating or moving any physical files. Fast, responsive support with expert technical account managers to help solve complex data pipeline issues. Massive ROI with no hardware maintenance, fast query times and bringing together multiple data silos into one powerful data lake house. Review collected by and hosted on G2.com.

This can result in unexpected costs if long running queries, inefficient joins or out of control autoscaling compute warehouses are not monitored. Referential integrity is supported but not enforced. This means that duplicate records can occur if data quality checks are not put in place upstream. Debugging can be difficult at times due to vague error codes being returned on failed queries. Referential integrity is supported but not enforced. This means that duplicate records can occur if data quality checks are not put in place upstream. Review collected by and hosted on G2.com.

I like Snowflake's UX and UI. It's very easy to navigate and covers my needs perfectly. I can keep my databases centralized and integrate with Sigma for dashboards. I like the customizable permission levels, including team permissions, because they help ensure people only see the data and reports they should. I also appreciate the customer support and coverage for the price, even though Snowflake is slightly expensive. The initial setup was pretty easy. I love working with Codex with the AI features as well, it saves me a lot of time. Review collected by and hosted on G2.com.

I think it would be nice if Snowflake provided a short video or training on how to navigate the basics. When we want to educate new employees to use self-service queries, we have to coach them manually. Snowflake is slightly expensive, though I think the support and coverage make sense for the price. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Snowflake is our datawarehouse that hosts all of our data from several sources that we ingest from. The UI is amazingly easy to use. Features like Cortex and Snowsight are super useful for stakeholders and users who are not very technical. Review collected by and hosted on G2.com.

The cost has been on the higher side, it is definitely related to the huge volumes of data we have. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Doing a migration from one database to Snowflake was a bit of a hassle, but it works better now. Review collected by and hosted on G2.com.