Our company uses the solution for building a data platform, data warehouse, and data transformation.
The product is somewhat used for data analytics, but it is mostly for data engineering.
External reviews are not included in the AWS star rating for the product.
Our company uses the solution for building a data platform, data warehouse, and data transformation.
The product is somewhat used for data analytics, but it is mostly for data engineering.
The tool is good for handling large datasets, and since the tool is fully managed by Snowflake, you can scale up the compute part.
I don't think that the AI tools in Snowflake are good. AI tools in Snowflake can be improved. Even if the AI tools in Snowflake are good, I feel that it would be expensive. The cost of the AI part does not justify what you get from the product.
The price of the product can be lowered.
I think Snowflake should integrate with some tools like ChatGPT.
I have been using Snowflake for a year.
The product is scalable and can be considered a good fit for small and medium businesses.
I haven't directly contacted the technical support team of the product.
I have used Azure Databricks and Azure Data Factory. My company decided to use Snowflake since we wanted to be able to get up and running fast without much configuration-related mess. Snowflake doesn't give you the options with the configuration part since, by default, it is available out of the box. In terms of machine learning, Azure Databricks has the upper hand over other products.
The product's deployment phase was quite okay.
The solution can be deployed in a few days or up to a week.
The product's price range falls between average to a bit expensive range. I think the tool is worth the money if you use it properly. It is difficult for me to speak about the number of users who use the product. My company pays around a couple of thousand dollars a month to 10,000 dollars or more.
I think the main benefit is that with the tool, you can easily get things going without problems since you don't need to configure all the parameters manually. If you buy the tool for a bigger computing purpose, the engineer can pay more attention to the tool, and I guess after that, you can do more with the solution. I would ask others not to think about the data warehouses, as Snowflake takes care of such areas.
The benefits from the use of the product can be realized in around 40 minutes. It is a good technology for getting up and running quickly.
Snowflake is integrated with Azure Data Platform and other ETL tools in our company's ecosystem.
The integration capabilities of the product are good and you get what you pay for when it comes to Snowflake.
I rate the tool a seven to eight out of ten.
I use the tool with visualization tools like Tableau and Power BI. We load the data into these tools and use them to build customer reports. We often need to write scripts to perform transformations before sending the data to the visualization tools.
The tool's performance is good. I think it's the best in the game right now. It usually charges per query. For example, if you run a SQL query on Snowflake with the same number of data records, it would take less than half the time compared to running it on Microsoft. It has good documentation. You can pick up Snowflake if you have previous knowledge of SQL.
I can only access Snowflake from the web. It would be better if we could have an app that we can install locally on our laptops to connect to the server without needing to go to the web page. Apart from that, it's hard to point out any limitations in the tool.
I have been working with the product for four years.
The tool is scalable. I've used it for datasets with more than ten million records.
I only put data in and modify data. Most of the time, I don't require technical support. We occasionally had downtimes, and the data engineer would escalate these issues to Snowflake to resolve them.
The solution's deployment is simple. You purchase the license on the Internet—I think there's only a free trial for thirty days—and set it up like a Gmail account. It takes less than a minute to set up. You can set up your Snowflake server or use an enterprise vendor like AWS or Azure. Recently, Snowflake has been moving away from third-party vendors. They want to set up their remote infrastructure.
The tool's pricing is based on the number of queries you want on your database. The cost is small. To get the tool's pricing, you can do the math based on the cost per query, which is $0.002. If you're running your queries frequently, your charges will be higher than running fewer queries.
I would give Snowflake a ten out of ten in terms of performance and a nine out of ten in terms of scalability. I rate the overall solution a ten out of ten.
The solution has use cases related to retail stores and sales.
The most valuable features of Snowflake are that you have to pay per usage, and you don't have to worry about the maintenance of the data warehouse because it is on the cloud.
The solution’s pricing could be cheaper. It would be helpful if Snowflake could create good reports instead of using Power BI reports.
I rate the solution a nine out of ten for stability.
Snowflake is a scalable solution. We have four to five customers for Snowflake who use it regularly.
The solution’s initial setup is straightforward.
The solution's deployment in a development environment takes only a couple of minutes.
Users have to pay a licensing fee for the solution, which is expensive.
Snowflake is deployed on the cloud. The solution is providing HIPAA compliance, which is sufficient. Users looking for a pay-as-you-use product available on Azure or AWS should consider Snowflake.
Overall, I rate the solution an eight out of ten.