the data warehouse for data lake analytics
To maximize the utility of a data lake, you need to create real-time dashboards to report on the data, run fast analytics to uncover insights and relationships, interactively explore the data to find new trends, and much more. Plus, you want to accomplish all this across the multiple workgroups and stakeholders that need concurrent access to the data.
Executing these broad set of use cases requires more than the typical unlimited storage capacity of traditional data lakes. You need a highly performant data warehouse. But not just any data warehouse. Snowflake, the only data warehouse built for the cloud, provides a complete solution capable of low-latency relational analytics, self-service capabilities, and virtually unlimited multi-workgroup concurrency scaling.
With Snowflake, you have the power and flexibility of two worlds. For maximum functionality and highest performance, land data such as JSON, Parquet, CSV and ORC directly into Snowflake and maintain it all within a single, integrated environment. No ETL effort, pre-transformations or pre-schemas required.