Snowflake AI Data Cloud

What do you like best about the product?

Handling large voulmes of inspection data in Snowflake used to feel slow for us, but it handles that workload much better now. Queries that previously took minutes are completing far faster, which has made our day to day analysis noticeably smoother. I also appreciate the secure data sharing features, since we can share datasets with extral vendors aithout having to create duplicates or maintain extra copies. On to of that, Snowflake integrations with tools like Salesforce and Zapier have been useful for keeping data in sync across systems.

What do you dislike about the product?

In my experience, Python user defined functions tend to be slower than SQL based operations. SO when we have heavier transformations to do in Snowflake, we’all sometimes run that processing outside of Snowflake first and then load the transformed results back in.

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

Snowflake helps us maintain a single consistent version of high quality data across teams. This reduces confusion and makes sure everyone is working fron the same numbers, which keeps our reporting aligned.

What do you like best about the product?

I use Snowflake alongside Spark and a few custom APIs Data moves smoothly between these systems. The compute scaling is partcularly useful when I’m running heavy queries and I rarely need to manually adjust resources much. Secure data sharing is another standout feature when collaborating with external teams and the governance is solid continues to keep pace as our data grows.

What do you dislike about the product?

Handling a large number of small files can impact performance, so I sometimes have to preprocess the data before loading it. That adds an extra step to my workflow, but aside that I haven’t run into any major issues. Its almost good.

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

It centralizes data pipelines and helps cut down processing delays. I can run analyses more fastest without having to worry about backend limitations, even when we’re handling data masking and integration to support third party business needs.

What do you like best about the product?

Snowflake data sharing feature is something I use on alot. It allows departments can access the same dataset without having to duplicate it, which keeps things simpler and more consistent. Queries run fast, and the separation of storage and compute helps maintain steady performance even when multiple users are active at the same time. It also integrates smoothly with BI tools and our internal reporting systems, so it fits well into our existing workflow.

What do you dislike about the product?

Setting up role based access can be compex at first and the snowflake keeps compute separate from storage. My experience the separation makes performace tuning more clear and allows workloads to scale independtly.

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

It contribute reduces data duplication across our ERP modules and strengthens collaboration between the finance and operations teams. It also makes coordination between the analytics and engineering teams more seamless, which in turn helps us deliver reports faster.

What do you like best about the product?

Ease of use / low maintenance – no infrastructure to manage, which is a big relief compared to traditional data warehouses.
Separation of storage and compute – lets you scale performance independently and avoid resource contention.
Performance & scalability – fast queries, especially with large datasets.
Concurrency handling – multiple teams can query data at the same time without slowing each other down.
Simple data sharing – sharing datasets across teams or even organizations is unusually smooth.
Pay-as-you-go pricing – you only pay for what you use, which feels efficient (when managed well).
Strong ecosystem & integrations – works well with modern data tools (dbt, BI tools, etc.).

What do you dislike about the product?

Semi-structured data isn’t always as smooth as advertised

JSON handling is powerful but can become awkward in complex transformations

Limited control compared to traditional systems

You don’t control the underlying infrastructure
Harder to fine-tune at a low level

Data governance & complexity at scale

Managing roles, permissions, and data access can get messy
Especially painful in large organizations with many teams

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

Snowflake is mainly solving problems around scaling, managing, and accessing data efficiently in the cloud—and the benefits usually show up in day-to-day productivity and decision-making.

What do you like best about the product?

It is very useful when you need to store very huge amounts of data and work with it quickly

What do you dislike about the product?

Its AI agentic tools are still too naive and not that helpful

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

We use it to store many of our datatables, specially the biggest ones and to access them quickly