Why Snowflake versus SQL Server?
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Why Snowflake versus SQL Server?

As an expert in database architecture, I am often asked what the business benefits are of moving from SQL server to Snowflake. Here is why it matters to your business:

1) Infrastructure Savings: Snowflake users don’t need to manage infrastructure since it handles the configuration, management, and indexing itself.??This leads to significant savings in database administration and maintenance costs versus SQL Server.

2) Scalability: Snowflake separates storage and compute functions, empowering users with almost infinite scalability. Moreover, these capabilities can be turned off when not needed. SQL server combines storage and compute functions. Its scalability is constrained by the hardware it runs on, especially if configured on-premise.

3) Performance: Snowflake uses columnar storage, allowing for reduced storage space through improved compression, less maintenance complexity due to self-indexing, and improved query performance versus relational database management systems like SQL Server.

4) Improved Collaboration: Snowflake allows data sharing without moving or copying the data, removing ETL complexity, eliminating cost, and ensuring all data is current.

5) Comprehensive Data Store: Snowflake can handle all data types, including structured, semi-structured, and unstructured data. SQL Server, on the other hand, is built primarily for structured data.

6) Cost Management: Depending on how Snowflake is managed, it can result in cost savings. It is a fully managed pay-as-you-go model. You pay for the compute you use, how much data you store, and how much data leaves the platform. Because of this, robust reporting and controls are recommended when moving to this or any cloud platform. With Snowflake hardware upgrades, database administrator resources and software licensing costs are avoided.

Did I miss any benefits? Let me know in the comments below.

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