elasticsearch v.s. MongoDB for filtering application

Question

I just want to know the difference between Elasticsearch and MongoDB as I want to use one of them in my filtering application.

Answer 1

Elasticsearch is considered to be an open-source, distributed, RESTful Search Engine that is able to store the data and search the data in a small amount of time. Along with Elasticsearch, Kibana, Beats, and Logstash are also known as the Elastic Stack or the ELK Stack. Whereas MongoDB is known for storing large amounts of data sometimes it is also known as "The database for giant ideas". MongoDB mainly saves data in JSON-like records or in Mongo language known as documents that can store 'n' number of unstructured and semi-structured data and also having flexible schema or in simple terms pre-defined data structure. MongoDB was also produced for high availability and scalability, having built-in replication and auto-sharding procedures.

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