Azure Cognitive Search vs Elasticsearch

Developers should use Azure Cognitive Search when building applications that require advanced search over large volumes of structured or unstructured data, such as e-commerce sites, document management systems, or knowledge bases meets elasticsearch is widely used in the industry and worth learning. Here's our take.

Azure Cognitive Search

Nice Pick

Developers should use Azure Cognitive Search when building applications that require advanced search over large volumes of structured or unstructured data, such as e-commerce sites, document management systems, or knowledge bases

Pros

• It is particularly valuable for scenarios needing AI-enhanced search (like extracting insights from images or text) or when integrating with Azure data sources like Azure SQL Database or Azure Blob Storage
• Related to: azure, full-text-search

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. Azure Cognitive Search is a platform while Elasticsearch is a database. We picked Azure Cognitive Search based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Azure Cognitive Search wins

Based on overall popularity. Azure Cognitive Search is more widely used, but Elasticsearch excels in its own space.