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.

Normally, for these video blogs, we like to share just one short video demonstrating the impact and capabilities of Snowflake, and how it’s truly become a game-changer for the data warehousing and analytics industry, but in this case just one isn’t enough! Please check out the following two short videos – the first being a sample of enterprises that’ve already benefited from switching to Snowflake from Hadoop, and the second being a brief, but more detailed description of how Snowflake manages this and so much more for enterprises everywhere…

Find out more about all the benefits Snowflake has to offer you and your business. Sign up for a free proof of concept!

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