https://thenewstack.io/how-minio-brings-object-storage-service-to-kubernetes/ provides cloud-agnostic object storage that’s equally at home in on-premises, co-location, and edge environments for workloads involving advanced machine learning, streaming datasets, unstructured data, semi-structured data, and structured data. MinIO’s capability to supply object storage almost anywhere data exists nicely complements Snowflake’s notion of external tables, which minimize data movement, decreases costs, and allows organizations to apply more of their data for any given use case.

According to https://www.linkedin.com/in/jtsymonds?original_referer=https%3A%2F%2Fwww.gopher.com%2F, https://min.io/?utm_content=inline-mention CMO, Snowflake “wants access to more data and not less and so, therefore, they basically created this concept called external tables.

The in-place querying capabilities Snowflake’s external tables enable in MinIO’s object storage create numerous advantages for the enterprise.

However, Snowflake’s in-place querying via external tables roundly expands those benefits by forsaking the data movement, costs, and latency of data pipelines.

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