How do you or your organization use this solution?
Please share with us so that your peers can learn from your experiences.
The primary use case is big data warehouses.
We are a big data company. We have many thousands of devices deployed from our customer base. These devices upload data, on an hourly basis, to a central storage. Next, we run some ETF processes that crunch and process data, then we store that data in a structured way on Snowflake. Over the past six months, it has been more of a development project. I am using the latest version.
The primary use case for Snowflake is in our data warehouse project. We have a private DW and whoever has the credentials can access it. I am a data integration developer and we are using ETL tools to extract the data from different source systems and then load it in the data warehouse.
We use this product basically for developing an IoT (Internet of Things). Currently, we are sending data from our S3 (Simple Storage Service) storage. In the future, we are planning to directly stream data to Snowflake.
We needed a data warehouse and we made a decision on what is the right tool for us as a data warehousing tool by comparing products. We looked into Microsoft Azure, Red Shift and Snowflake. In the end, we decided on Snowflake because it looks more up to date, it seemed much better purposed as a data cloud solution. It was developed from scratch and dedicated to being used on the cloud and that was what we were looking for. It was not just an on-premises system which was then converted to use on the cloud. It was completely developed from scratch and purely focus on the cloud. Because it was programmed with that dedication, it has some significant advantages.
We primarily use the solution for data warehousing.
We are an IT Analytic Consulting company and we work with many different products. We have Snowflake and a Snowflake account mainly for education purposes and our internal training. We connected it to different sources, mainly internal sources. Most of them are on-premises and some are on the cloud. The deployment model is public.
Our aim was to migrate everything from on-premise, so we just migrated as it is and then we had issues. Some use cases that were running on-premises were not installed. We just went through each case and then finalized the issues with some of the packages that were not working or some users that were not getting what they were expecting. We did deep analysis on each and every case and then looked for options in Snowflake and are now working with the team to move everything over to Snowflake.
We use Snowflake for our data warehouse. Amazing product. Redshift cannot compete with a true elastic data warehouse where you can scale computing by just issuing a SQL query (increase computer power) and resizing it down or putting computing unit to sleep. Snowflake has many more features: When combined with Alooma, it's the best data integration system. No need for Talend and all these cumbersome tools.