Snowflake vs Hadoop

Lots of people are aware of Hadoop for its advantages, like ease of data loading and scaling, but more and more are becoming increasingly aware of its limitations, like its complexity of use, and inability to store both structured and unstructured data, or query and perform analytics against them both. This latter issue has grown significantly with the ever-increasing requirement of having a true, 360 view of all data, whatever the source. Hadoop simply can’t compete against the effectiveness of more modern solutions like Snowflake, which combines semi-structured (JSON, AVRO, XML) and structured data effectively, facilitating quicker and more agile response, which those in the Analyst departments will appreciate, since it does all this while using ANSI SQL as standard.

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