SQL LIKE vs Elasticsearch

Developers should learn SQL LIKE when building applications that require search functionality, such as filtering user inputs, implementing autocomplete features, or querying logs and reports meets elasticsearch is widely used in the industry and worth learning. Here's our take.

SQL LIKE

Nice Pick

Developers should learn SQL LIKE when building applications that require search functionality, such as filtering user inputs, implementing autocomplete features, or querying logs and reports

Pros

• It is particularly useful in scenarios where exact matches are not feasible, like searching for names with variations, product descriptions, or email addresses with common domains
• Related to: sql, regular-expressions

Cons

• Specific tradeoffs depend on your use case

Elasticsearch

Elasticsearch is widely used in the industry and worth learning

Pros

• Widely used in the industry
• Related to: search

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. SQL LIKE is a concept while Elasticsearch is a database. We picked SQL LIKE based on overall popularity, but your choice depends on what you're building.

The Bottom Line

SQL LIKE wins

Based on overall popularity. SQL LIKE is more widely used, but Elasticsearch excels in its own space.