Alex Woodie writes in datanami, "MongoDB, of course, was not designed for analytics. As a document store with a JSON-like data structure, the database was intended to make it easy for developers to build Web and mobile apps, which typically fall into the operational and transactional buckets.

But data analytics is increasingly a priority for companies, and so MongoDB is looking to build more analytic capabilities into its database. Delivering some analytics within the database makes sense, as it eliminates the need for companies to ETL the data into a dedicated OLAP environment, which brings latency, complexity, and cost to the equation..."

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