In this article, we will explain what is Snowflake? Why Snowflake? difference between Traditional warehouse and Snowflake.
What is a Snowflake?
Snowflake is a cloud-based data warehouse, unlike other primary data warehouses and founded in 2012.
Snowflake offers data storage and analytics services at a low cost.
Currently, Snowflake runs on Amazon AWS, Microsoft Azure, and the Google Cloud Platform.
Snowflakes do not have their own infrastructure.
Pay for what you use model.
We have to pay for the time queries are running, but there is no need to pay when the session is inactive.
It is a cloud-based platform; there is no infrastructure cost.
Snowflake is more than a data warehouse.
It also helps in some transformations, such as creating data pipes, creating a visual dashboard,
High scalability (in two forms: scale up and scale out).
Scale up: increasing the size of the warehouse will require
scale out: increase the number of virtual warehouses.
data recovery, backup, sharing, masking, cloning, and data protection.
easy integration with data visualization and reporting tools.
Traditional Warehouses vs. Snowflake
A lot of infrastructure is required, but as Snowflake is cloud-based, there is no infrastructure cost at all.
In general, traditional warehouses store only structured data, and they cannot process semi-structured We need ETL tools if we want to process semi-structured data. But in Snowflake, without using any additional tools, we can easily process the semi-structured data. This is one of the big advantage of the Snowflake.
And if we want to load the data into traditional DBMS systems, again, you have to make use of vital But in Snowflake, we can do that easily by using a simple copy command.
And as I mentioned earlier, it is very easy to scale up or scale out in Snowflake when compared to the traditional warehouses. So the scalability of Snowflake is very high.