In my current role, I work with data from a range of sources, including AWS S3 and various APIs and Snowflake manages the ingestion easy process. When its paired with tools like Power BI, it also makes reporting straightforward for business teams. We’re able to integrate our Google Cloud environment with the platform as well, which helps simplify daily data management. I Particularly that clonning tables doesn’t duplicate storage, since it saves time and effort when I’m testing. Query performance has also been consistently reliable in my experience, even when I’m running large joins. Review collected by and hosted on G2.com.

Once things I’ve noticed is that if queries aren’t optimized, costz can spike fastest and without much warning. Also, the integration and implementation process isn’t straightforward, which can make getting everything set up more difficult than expected. Review collected by and hosted on G2.com.

We use Snowflake every day to manage data coming from APIs, logs and internal applications. What standa out most is how seamlessly it integrates with tools like Apache Airflow for job scheduling andd AWS S3 for storage. The overall environment feels dependable and thw user friendly interface keeps day to day work simple and efficient. Writing SQl queries is intutive and performance stays consistent even when we’re working with large datasets. Sharing data across teams is also easy and straightforward, which reduces a lot of unnecessary back and forth. Review collected by and hosted on G2.com.

Cost tracking needs more attention. If I forget to pause warehouses or if I accidentally run heavy queries, the costs can add up fast. The query history is useful, but when I’m troubleahooting more complex issues, it sometimes doesn’t feel detailed enough to clearly pinpoint what happend and why. Even so, their services still helps us improve the quality of work. Review collected by and hosted on G2.com.

Snowflake covers almost everything needed I need for analytics within a single dashboard. I’ve worked with integrations like Power BI , Tableau, dbt and even APIs for custom data loads and overall its been a strong data warehousing tool. It supports both structured and semi structured data, including formats like JSON and Parquet, which is useful in real projects. Features such as data sharing, automatic scaling and workload isolation make it easier to collaborate teams without running into conflicts. On top of that, not having to deal with server management is a major plus. Review collected by and hosted on G2.com.

There’s a bit of a learing curve when you first start using advanced features like clustering or performance tuning. Keeping costs under control also takes discipline, especially with larger teams. I’ve found that creating multiple roles and assigning the right privileges to each one helps streamline the overall data analysis process. Review collected by and hosted on G2.com.

it eliminates local storage while maintaining security and safely protecting or data. It's also pretty speedy when and easy to scale. the UI is very simple to navigate and support is very good. My favorite piece though is the introduction of CoCo AI assistant. Review collected by and hosted on G2.com.

Snowflake is continuously changing and evolving so things that are disliked are generally corrected pretty quickly. The main annoyance now is remembering to switch AI models when starting new conversations with CoCo. Review collected by and hosted on G2.com.

I use Snowflake every day to review access logs and keep an eye on user behavior. The secure Data Sharing feature is genuinely one of the most valuable parts of the platform, since it allows us to share datasets across teams without copying anything. I’ve worked with other data platforms before and I still remeber how much time we used to lose to ETL jobs and infrastructure management. Role Based Access Contril (RBAC) is solid as well, especially once its configured correctly. I also appreciate Time Travel, because it makes it simple to jump back and check historical data fastest whenever I need to. Review collected by and hosted on G2.com.

RBAC is powerful, but it isn’t very straightforward at first. I had to spend some time testing and adjusting different roles to make sure I wasn’t over permissioning anything. Credit usage is another area you really need to keep an eye on as you go, since its easy to lose track if you’re not paying attention. Review collected by and hosted on G2.com.

Snowflake has been part of my daily workflow for quite some time and it scales smoothly without requiring any manual effort on my end. Its integrations with tools like Python, Tableau, APIs and cloud storage services have been reliable, stable and straightforward to maintain over time. I also appreciate the separation of compute and storage, which keeps the such as workload isolation, data sharing and suppot for external stages help me handle different use cases more cleanly and efficiently. Review collected by and hosted on G2.com.

I haven’t run into any issues so far, everything is ok works as expected for regular use. New users provide $400 credits in the first months. Review collected by and hosted on G2.com.

When our company started collecting data from more systems, it became difficult to keep everything organized and accessible. Snowflake helped us bring those datasets together without forcing us to constantly manage infrastructure. What I enjoy most is the flexibility. Our analysts can run complex queries while data engineers continue building pipelines without getting in each other's way. Performance has remained stable even as our data volume has grown significantly over time. Review collected by and hosted on G2.com.

Because the platform is powerful, it takes some time to understand the best practices for storage and query optimization.

We also had to pay closer attention to usage monitoring in the beginning to avoid unexpected consumption costs. Review collected by and hosted on G2.com.

Snowflake’s standout feature is the way it separates storage from compute, which makes scaling both straightforward and efficient. Query performance stays fast even when working with large datasets, and the UI is clean, simple, and easy to navigate. It also integrates smoothly with other tools, which helps streamline data workflows and cuts down on the effort needed for infrastructure management. Review collected by and hosted on G2.com.

One downside of Snowflake is that costs can rise quickly if usage isn’t monitored closely. The pricing model can also feel a bit complex to understand at first. In addition, there’s a learning curve for new users, especially when it comes to optimizing queries and managing warehouses efficiently. Review collected by and hosted on G2.com.

Snowfalke - I run queries on Slack app data and internal metric without any noticable delay. Scaling works well for us now, with no slowdown even when running heavy queries. The features I use most often are warehouse resizing, access roles and retenation. It also handles structured and unstructured adat together, which is a help. Review collected by and hosted on G2.com.

It takes extra effort to understand excatly where credits are being spent and at times it feels a bit more on Snowfalke side than mine. Snowflake is great for managing Slack workflow data, and its been a solid fit for that use case. Review collected by and hosted on G2.com.

It is a cloud-based data management tool. It’s one of the best tools for data integration, governance, and migration, and it’s easy to use with a UI-friendly interface. Anyone can use it easily and they also provide customer support if need any help, they provide trainings also to the users and help them manage their data.. I also find it easy to use, thanks to a user-friendly interface and an overall UI that feels intuitive and straightforward. Review collected by and hosted on G2.com.

As of now, the cost for some services is pretty high, but it does provide good-quality service overall, so I think it’s good. Review collected by and hosted on G2.com.