Snowflake AI Data Cloud

What do you like best about the product?

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.

What do you dislike about the product?

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.

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

What I like most about Snowflake is that it helps solve challenges related to managing and analyzing large volumes of data. By providing a scalable and centralized platform, it reduces infrastructure complexity, improves query performance, and enables faster access to insights. This benefits me by making data analysis more efficient, supporting better decision-making, and allowing teams to collaborate more effectively across the organization.

What do you like best about the product?

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.

What do you dislike about the product?

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.

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

Snowflake helps address key business challenges by making it easier to manage and analyze large volumes of data efficiently. Its intuitive UI/UX simplifies exploring datasets and understanding database structures, which boosts productivity in everyday work. The platform’s strong integrations with other tools also streamline data pipelines and support smooth collaboration across teams.

From a performance standpoint, Snowflake runs large-scale queries quickly and can scale resources on demand, delivering consistent results as data needs grow. This scalability can also improve pricing and ROI, since you’re able to optimize costs based on actual usage. In addition, the onboarding experience and available support make it relatively straightforward to get started and gradually adopt more advanced features. Lastly, its AI and intelligence capabilities help with query generation and data analysis, accelerating insights while reducing manual effort.

What do you like best about the product?

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

What do you dislike about the product?

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.

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

Snowflake features like native data sharing make it much easier to centralize data and keep it accessible across teams. Not having to manually manage indexes, partitions, or vacuuming frees up a lot of development time, so I can focus on actual data integration instead. Overall performance of data processing is very fast which saves a lot of time to sync data in Snowflake.

What do you like best about the product?

I appreciate Snowflake's intuitive layout and design, which makes it easier to navigate and enhances data visibility. This better visibility simplifies reporting and analytics for me, making them easier to read. I also find the initial setup of Snowflake to be very easy, which is a big plus. Overall, I've been enjoying all the features of Snowflake.

What do you dislike about the product?

NA

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

I use Snowflake to streamline and aggregate data, which helps with reporting. Its intuitive layout and design enhance data visibility, making analytics easier to interpret.

What do you like best about the product?

Store both structured and semi-structured data and provide real-time dashboards for monitoring

What do you dislike about the product?

It is expensive and sometimes less flexible for unstructured data

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

Data Preparation, training data sets, regulatory data warehouses and for customer analytics the attribution modelling

What do you like best about the product?

I use Snowflake to build end-to-end GenAI and ML projects, and I find it valuable because everything is available on one platform. Snowflake supports data engineering, machine learning, and GenAI, which are crucial for my work. I like how I can quickly access new market trend models and features to explore, and it's easy to integrate the most demanding features into our projects. The initial setup of Snowflake was very easy.

What do you dislike about the product?

So far, I don’t have any dislikes about Snowflake.

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

I use Snowflake for building end-to-end GenAI and ML projects. It provides everything in one platform for data engineering, machine learning, and GenAI, making it easy to integrate demanding features quickly into projects.

What do you like best about the product?

I really like Snowflake's elastic scaling; it's my favorite part. We can run huge queries without managing servers, and it pauses automatically, so we only pay for what we use. The data sharing feature also works great. Sharing live data securely with partners avoids copying and keeps everyone synced on one version of the truth. Snowflake integrates well with the common stack; we use dbt for transformations, Airflow for orchestration, Looker and Tableau for BI, and Python for data science work. We moved from Redshift to Snowflake, which made scaling easier and separated storage from compute, cutting a lot of the cluster management headaches we had before. The setup was quick for the basics, and we had a warehouse running and data loading in under an hour.

What do you dislike about the product?

Cost can spike if queries aren't optimized, since you pay per compute second. The UI for permissions and roles is also clunky and takes time to get right.

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

Snowflake handles scaling data storage, accelerates analytics, unifies siloed data, and reduces infrastructure costs for growing data teams.

What do you like best about the product?

I like Snowflake for its very fast query performance and good integration with ETL and BI tools. I also enjoy the secure data sharing capabilities across teams and projects. It supports semi-structured data like JSON, which makes data ingestion easier from APIs and applications. Auto-scaling is a big plus, saving time because we don't need to manually manage servers during high workloads. The ability to seamlessly scale up or down based on data load is crucial and Snowflake excels in this. It works well with major cloud platforms like AWS, Azure, and GCP. I appreciate its high performance for SQL queries and analytics, which helps business teams get reports quickly for decision-making. Its strong support for analytics and reporting workloads is impressive, and I find it a very good choice for large-scale data processing.

What do you dislike about the product?

One challenge with Snowflake is cost management. Some areas that could be improved include better cost optimization and monitoring features and improved real-time streaming support for some use cases. There's also a high dependence on cloud connectivity. Specific difficulties in cost management include virtual warehouses that may keep running even when no queries are executing, difficulty in identifying which queries or users are causing high costs, and heavy queries consuming more compute credits.

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

Snowflake efficiently handles large data, improves query performance, and reduces infrastructure maintenance. It allows storing, processing, and sharing data securely, supports diverse data types, and enables separate workloads without interference, enhancing team collaboration.

What do you like best about the product?

I find Snowflake extremely useful as a data warehousing tool because it's really fast and offers a lot of tools for processing massive data. I'm really interested in its latest feature, Cortex AI, which I believe can solve many issues my developers face. Cortex AI enables me and my team to integrate data sources and create dashboards in just minutes. It's really helpful for my team in connection with my AWS tools. Also, the initial setup of Snowflake was relatively easy, and I haven't faced any issues while working outside of my firm's compliance constraints.

What do you dislike about the product?

Nothing, love the product and have never had issues with it

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

Snowflake is really fast and offers several tools for processing massive data. Cortex AI helps integrate data sources and create dashboards quickly, which is very helpful for my team.

What do you like best about the product?

When I was in my previous company I have been using this tool. The best part about Snowflake is that the storage and compute are completely separate. In my daily workflow, this means our data science team can run massive, heavy queries at the exact same time our business analysts are running their daily dashboards, and absolutely nothing slows down. I also love the Zero-Copy Cloning feature. It lets me create a replica of our production data for testing in just a few seconds without wasting time or storage costs.

What do you dislike about the product?

While the auto-scaling is great, you have to be really careful with setting up warehouse timeouts. If an analyst accidentally leaves a massive virtual warehouse running or sets the auto-suspend time too high, it can rack up unexpected compute costs very quickly. It requires strict monitoring.

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

It solves our data concurrency and speed issues. Before Snowflake, our old database would choke when too many people logged in at 9 AM. Now, it automatically scales up to handle the morning rush and scales down when people go home. It saves our data engineering team hours every week because we don't have to manually manage database indexes or cluster partitions anymore.