MongoDB Search features

Use rich, nested data structures for effortless organization and querying. Search across multiple fields and data types to quickly retrieve relevant information and gain insights for optimal performance.

Optimize compute resources to scale search and database needs independently to ensure higher availability and performance.

Programmatically create and manage Atlas clusters locally and in the cloud via the Atlas CLI.

Control how MongoDB Search turns your context into searchable terms to ensure you’re building the right search index for your app.

Every document returned by a MongoDB Search query is assigned a score, based on relevance, with results from highest score to lowest.

Define similar search terms to help users find the content they’re looking for.

Retrieve multi-dimensional insights on your search results to surface the most relevant information.

Optimize query performance by delivering results in batches, especially when dealing with large result sets.

Sort and re-order your search results based on the specific needs of your application to ensure the highest performance.