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Snowflake vs Hadoop

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What is a Snowflake?


Snowflake is a cutting-edge cloud data warehouse that offers a single integrated solution that allows storage, compute, and workgroup resources to scale up, out, or down as needed. 


Snowflake is an analytic data warehouse that is available as Software-as-a-Service (SaaS). It provides companies with data warehouse capabilities that are faster, easier to use, and more adaptable than traditional data warehouse solutions. It's worth noting that Snowflake's data warehouse employs a brand-new SQL database engine with a cloud-specific architecture.


What is Apache Hadoop?


Hadoop is an open-source framework developed at Yahoo and released as an open-source in 2012. Hadoop uses simple programming models to enable businesses to implement distributed processing of large data sets across clusters of computers. Hadoop can expand from a single computer system to thousands of computers with local storage and computation power using the MapReduce programming model. You just need to add extra servers to your Hadoop cluster to increase storage capacity.


Snowflake vs Hadoop: Comparision


Now you have a general understanding of both technologies, we can compare Snowflake and Hadoop on many aspects to determine their capabilities. We'll compare them using the following criteria:


Features



  • Performance

  • Data Storage

  • Scalability

  • Ease of use

  • Costs

  • Data processing

  • Fault tolerance

  • Security


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