Databases Intermediate

What is Elastic Search?

A distributed search and analytics engine built on Apache Lucene, optimized for full-text search and log analysis.

Elasticsearch indexes documents as JSON and provides powerful full-text search with relevance scoring. It supports fuzzy matching, aggregations, geospatial queries, and auto-completion. The ELK Stack (Elasticsearch, Logstash, Kibana) is the standard for log analysis.

Use cases include website search, application monitoring, security analytics, and business intelligence. Elasticsearch scales horizontally across clusters of nodes.

Related Terms

The default index type in most databases that organizes data in a balanced tree structure for efficient searching, sorting, and range queries.

A category of databases that store data in non-tabular formats, optimized for specific data models and access patterns.

Query Optimization

The process of improving database query performance through indexing, query rewriting, and schema design techniques.

A database object that enables row-by-row processing of query results, useful for operations that cannot be done in bulk.

Database Constraint

Rules enforced by the database to maintain data integrity, including NOT NULL, UNIQUE, CHECK, PRIMARY KEY, and FOREIGN KEY.

A database that uses graph structures with nodes, edges, and properties to store and query highly connected data.

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