Snowflake AI Data Cloud

What do you like best about the product?

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.

What do you dislike about the product?

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.

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

It brings data engineering and analytics together, giving us clearer insight into our data. Rather than managing multiple systems, we can rely on Snowflake for storage, transforamtion and querying which saves and reduces complexity throught our worflow.

What do you like best about the product?

The biggest value Snowflake provides is how it removes the 'heavy lifting' of data management. The UI (Snowsight) is incredibly intuitive features like the Performance Explorer and built-in Worksheets mean I rarely have to leave the browser to get meaningful work done.
From a Performance standpoint, the separation of compute and storage is a game-changer; I can run heavy ELT processes without ever lagging our BI dashboards. We’ve also seen a massive boost in AI/Intelligence workflows thanks to Cortex AI and Snowpark, which allow us to run LLM functions and Python logic directly on our data without the security risk of moving it to external servers.
The Integrations are seamless, particularly the Data Marketplace, which has saved us weeks of engineering time by allowing us to 'mount' third-party data instead of building custom APIs. While the Pricing model requires some oversight, the ROI is clear: we’ve replaced three legacy tools with one platform, and the Auto-budgeting features keep costs predictable. Finally, the Onboarding experience was surprisingly smooth; the documentation is so thorough that we rarely need to contact Support, but when we do, they are fast and technically sharp

What do you dislike about the product?

The main challenge I would say is the consumption-based pricing model, which can lead to unpredictable costs if you aren’t extremely diligent with resource monitors and auto-suspend settings. It's very easy for a developer to accidentally leave a large warehouse running or write an unoptimized query that eats up credits faster than expected. Nothing else comes to the mind for now.

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

The biggest problem Snowflake solves for me is infrastructure friction. I used to spend way too much time worrying about whether a large query would crash a dashboard or if I had enough 'room' to run a heavy data load. Snowflake handles all that scaling in the background, which lets me move straight to the actual analysis.
It’s also solved the headache of data movement. Between the Marketplace and simple data sharing, I’m no longer building and fixing broken pipelines just to get external data into my environment. For me, the benefit is simple: speed. I can go from a raw dataset to a clean, usable model in a fraction of the time it used to take, simply because the platform stays out of my way and lets me work in whatever language like SQL or Python makes the most sense for the task at hand.

What do you like best about the product?

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.

What do you dislike about the product?

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.

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

It gives me a single snowflake dashboard where I can track and audit data access, instead of having to jump between multiple systems. It also pulls AI chatbots, machine learning and other tools into one place, which makes it easier for our team to manage data related work within the same portal. This has been particularly useful during internal audits and it also helps us move faster on investigations when something doesn’t look right.

What do you like best about the product?

the user interface was very easy to understand and use. not only that, snowflake has compatibility with various tools to ingest and export data.

What do you dislike about the product?

pricing is a bit complex to understand and expensive. it does not support native etl transformations as well

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

i used snowflake to create very complex sql cte's which helped me in my project very much. it gave a summarised view on the top of the results giving me info about how many values are null, etc. it has very good performance when it comes to complex queries

What do you like best about the product?

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.

What do you dislike about the product?

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.

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

Snowflake takes a lot of the complexity out of infrastructure management and lets me stay focused on building data solutions. I can scale resources up or down whenever I need and I’m able to run multiple workloads in parallel without running into performance problems. From ingestion to transformation and reporting, everything lives in one place, which boosts productivity and keeps my workflows clean, organized and easy to manage.