Amazon Redshift vs Mongoid: What are the differences?
What is Amazon Redshift? Fast, fully managed, petabyte-scale data warehouse service. Redshift makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
What is Mongoid? Ruby ODM framework for MongoDB. The philosophy of Mongoid is to provide a familiar API to Ruby developers who have been using Active Record or Data Mapper, while leveraging the power of MongoDB's schemaless and performant document-based design, dynamic queries, and atomic modifier operations.
Amazon Redshift and Mongoid are primarily classified as "Big Data as a Service" and "Object Document Mapper (ODM)" tools respectively.
Mongoid is an open source tool with 21 GitHub stars and 15 GitHub forks. Here's a link to Mongoid's open source repository on GitHub.
Lyft, Coursera, and 9GAG are some of the popular companies that use Amazon Redshift, whereas Mongoid is used by Sensor Tower, Ruby China, and WOVN.io. Amazon Redshift has a broader approval, being mentioned in 270 company stacks & 68 developers stacks; compared to Mongoid, which is listed in 7 company stacks and 7 developer stacks.
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What is Amazon Redshift?
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