Certain products that involve search engines with large databases and e-commerce are now faced with a problem that says product information retrieval is taking too long. The problem results in bad user experience and therefore turns off your potential customers.

The lag in search is caused by a relational database that is used in designing the product – the data is situated within several tables and to successfully collect useful user information, it must be taken from across each table simultaneously. Relational base becomes so slow when collecting search result from database queries as well as when collecting huge data. Businesses are now searching for alternate ways of storing their data that allows quick retrieval, and this is where NoSQL comes into play. Elasticsearch or ES is one of such NoSQL databases for distributions. ES depends on flexible data models to update and build customer’s profile as well as meeting the low latency needed engagement in real-time and the demanding workloads.
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