What I like best about Snowflake is how easy it makes working with large amounts of data without having to manage infrastructure. The separation of storage and compute allows teams to scale resources independently, which improves performance and cost efficiency. I also appreciate its user-friendly interface, fast query performance, secure data sharing capabilities, and strong integration with modern data tools. Overall, Snowflake helps organizations access, analyze, and share data more efficiently, enabling faster and better business decisions. Review collected by and hosted on G2.com.

What I dislike most about Snowflake is that costs can sometimes be difficult to predict, especially when compute resources are scaled up or used inefficiently. While the platform offers strong performance and flexibility, organizations need to monitor usage carefully to avoid unexpected expenses. New users may also face a learning curve when managing warehouses, permissions, and optimization settings. Overall, the benefits are significant, but cost management requires ongoing attention and planning. Review collected by and hosted on G2.com.

Snowflake lets me extract data easily and efficiently, and its clear UI/UX makes it simple to navigate while understanding the structure of databases and tables. It also integrates smoothly with the other tools we use, which helps streamline workflows and boosts overall productivity. In my experience, performance remains strong even with large datasets, and being able to scale resources up or down as needed adds solid value for the pricing. Onboarding is straightforward, with helpful documentation and support available whenever I need it. On top of that, Snowflake’s AI and intelligent features improve data analysis and make it easier to surface meaningful insights quickly. Review collected by and hosted on G2.com.

At times, Snowflake’s UI/UX feels a bit unintuitive when I’m working with complex queries, particularly if I’m leaning on the built-in AI features. The AI can occasionally produce incorrect code or fail to identify the right tables, which hurts productivity and adds extra rework. Integrations are generally solid, but when something breaks between tools, troubleshooting can be time-consuming.

Overall performance is usually good, yet inefficient AI-generated queries can still slow things down. From a pricing perspective, those inefficiencies may translate into higher compute costs, which then impacts overall ROI. On top of that, onboarding into more advanced features—especially the AI capabilities—can be challenging, and the available support or documentation doesn’t always fully cover these edge cases. Review collected by and hosted on G2.com.

The best thing I like about Snowflake is its fully managed Software-as-a-Service model, which reduces development and maintenance efforts tremendously. Another feature I really value is the architectural separation of compute and storage, which allows independent scaling of resources and helps optimize operational costs based on real-time workload consumption. Snowflake also enables frictionless, secure data sharing across different business units and external organizations, without requiring physical data replication or complex ETL pipelines. We have integrated Snowflake with API integration implementational dn data moved swiftly without any delay/concurrency. The AI suggestions while building procedure it so matured that it saves lots of development time. Technical support team is very efficient and available on requests. The UI is very smooth Review collected by and hosted on G2.com.

The standard edition restricts users to single cluster warehouse with default concurrency level of 8. This limitation forced us to upgrade to enterprise edition with multi-cluster support with big cut on the project budget. Review collected by and hosted on G2.com.

Snowflake storage lets teams work independently with flexible workloads and strong performance, without needing process management. The platforms tools and database features make implementation and day to day management straightforward and the overall performance has been excellent for us. Compute is easy to manage and makes collaboration very reliable across ETL, ML and data queries. Connecting to the platforn is also smooth and works well. Review collected by and hosted on G2.com.

Snowflake requires careful management of compute costs. At the same time, it provides some optimized ETL functionality within Snowflake itself and helps keep the information stored in the database seccure. Review collected by and hosted on G2.com.

Snowflake is the most powerful data tool right now . It's not limited to data warehouse now . With the current ai capabilities specially cortex like cortex analyst ,cortex agents , ai sql functions this is now an end to end platform for all data things . Specially the cortex code is life changing for etl pipelines,debugging etc. Review collected by and hosted on G2.com.

I think they are shipping a lot of ai features which are great but still need fine tuning and improvements on that . Sometimes they hallucinate and gets a little frustrating . Also I think cortex analyst was pretty expensive so cost sometimes is a downside . Review collected by and hosted on G2.com.

Snowflake makes data movement easy, and scaling compute for heavier workloads is straightforward without requiring much manual tuning. It also helps me keep data secure and I don’t have to worry about provisoning servers or APIs. The Cloud storage setup in Snowflake feels well desgined and I’ve consistently seen solid performace. I also like the integration features and it continues to work well even when the whole team is using it at the same time. The setup process process has been smooth and practical and having the option with both SQL and Python has been great. Review collected by and hosted on G2.com.

Small files can hurt performance, but otherwise data pipelines can faster and cut overalltime. The compute is most useful when it stays simple, efficient, easy to mange and straightforward to operate. Review collected by and hosted on G2.com.

Snowflake has been a reliable platform in my day to day data workflows. In my setup, I use dbt to run scheduled transformations and Snowflake handles these workloads efficiently. Data sharing is another area where Snowflake performs well. A notable advantage is the low maintenance requirement which reduces operational effort and allows more focus on analytics and modeling. Overall, Snowflake provides a stable, scalable and efficient environment for modern data operations, particularly in BI-driven use cases. Review collected by and hosted on G2.com.

With Snowflake, cost visibility can feel a bit unclear at first and it’s easy to run up higher usage if queries aren’t monitored closely that said the interface is well structured and intuitive which makes it straightforward to find, organize and manage resources efficiently. Review collected by and hosted on G2.com.

I’m in Snowflake almost everyday for reporting work. Its been stable for me and doesn’t freeze, even when I’m working with large datasets. Writing queries feels straightforward and I rarely need much support to get things done. We also use it with looker and google sheeta, depending on who needs the data and how they prefer to access it. The option to scale compute up during heavier workloads and then scale it back down afterwards is helpful. I also appreciate not having to worry about infrastructure or ongoing maintenance. Review collected by and hosted on G2.com.

Snowflake makes it very easy to manage dynamic schema updates, although I’ve also run into some slow performance at times. It streamlines data goverance and removea the storage constraints we used to deal with in traditional on prem databases. Review collected by and hosted on G2.com.

I use Snowflake mainly for reporting pipelines. It integrates smoothly with tools like looker and DBT, and setting up transformations is fairly straightforward. I often rely on cloning tables without duplicating data when I’m testing changes. I also appreciate that storage can scale up without much advance planning and managing queries generally feels simple and efficient. Review collected by and hosted on G2.com.

You can make it work, but it doesn’t feel very natural. The query history is helpful, yet when I need deeper troubleshooting, it still feels limited snowflake. That said, i do appreciate how user friendly it is especially for people who might not have technical background. Review collected by and hosted on G2.com.

In a supply chain setup, I work with Snowflake every day to manage movement and inventory tracking data. It handles high volume workloads with very small setup requires on my end and I stage files in AWS S3, process everything inside Snowflake SnowFlake and then send the results to Power BI. Our data loads run on a schedule and I rarely run into failures unless something upstream breaks. Review collected by and hosted on G2.com.

It really depnds on how people write queries badly written queries can slow things down and drive up costs. What I like is that I don’t have to worry about indexes or tuning the way I did with older systems. And even when multiple teams are running queries at the same time, performance doesn’t degrade much. Review collected by and hosted on G2.com.