If you’ve read my previous articles on search, you’d know how critical search is to an application. Think about it: out of all the different web apps and mobile apps you use every day, be it Netflix…

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ElasticSearch is a powerful search engine that excels at performing full-text searches on large datasets. It can be used as a secondary database for full-text search operations, a real-time data analysis pipeline, or a recommendations system. However, ElasticSearch is not suitable for ACID compliance, complex joins, or small datasets with simple query needs. When using ElasticSearch in system design, consider its distributed architecture, scalability, document-based data modeling, real-time data analysis capabilities, and cost implications.

System Design Cheatsheets: ElasticSearch

How to use ElasticSearch in your system design