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MongoDB and Elasticsearch are both NoSQL "databases", or more correctly NoSQL data stores that are often compared and contrasted on a head-to-head basis.
But if comparing that way, one could easily miss out on the opportunity to use both together as individual and independent data stores that serve specific purposes to deliver the best overall solution for your application flow and performance needs.
Join Kimberly to discuss each technology overall and provide details of the underlying technology with architectural information and basic functioning for these two different NoSQL options. Next learn about the strengths and weaknesses of each, scaling for high availability, and opinions on best use cases both separately and together along with potential new use cases in emerging and disruptor sectors such as related to AI and ML/DL uses then with blockchain and cryptocurrency.