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Comparison Dremio
 Drawbacks Such Data Lakes have become data swamps due to lack of any naming conventions for files / folders. duplicate data spread everywhere
 Advantages Data Scientists need not spend time on ETL. ETL effort made zero
 Website https://www.dremio.com
 Brief description No moving data to proprietary data warehouses, no cubes, no aggregation tables or extracts. Just flexibility and control for data architects, and self-service for data consumers.
 Operating System Supported Linux, Windows not supported
 Key Differentiator One of the Most popular Data Science Platform in the market
 Database Model Columnar data model. The power of the CPU cache is utilized on similar column data types