In today’s world data is the center of every strategic business decision taken in all the industries across all the domains. It is one of the most valuable assets of a business, as it allows all the stakeholders to take informed decisions after performing a thorough analysis of the data available. But as the data is generated in an exceptionally large volume, the businesses need to have tools that have features like high performance, scalability, and ease to use to get the most out of their voluminous data according to their business needs and in less computing cost and time. In this era of distributed computing, we have many cloud platforms and Software as Service providers available that are offering unlimited computation and storage resources on demand. This paper discusses Snowflake Elastic Data warehouse, one of the tools used in many organizations to solve their real-world data problems like handling large amounts of data with high performance. This paper discusses Snowflake architecture, data sharing and storage, data ingestion and transformation capabilities, analytics, and visualization along with its other features that makes this tool the most dominant in the organizations for solving real world data problems and handling substantial amounts of data with high-speed performance.