New
{New}  Announcing MongoDB Atlas Vector Search and Dedicated Search Nodes for GenAI use cases

Atlas

Atlas Search. Build
full-text search at scale.

Atlas Search is the simplest way to build relevance-based search 4x faster and for 77% lower cost than alternative search solutions.
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Atlas Search
What is Atlas Search?
By integrating the database, search engine, and sync mechanism into a single, unified, and fully managed platform, Atlas Search is the fastest and easiest way to build relevance-based search capabilities directly into applications.
View Documentation
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Advanced search, simplified

With Atlas Search, you work with a single, unified API across both your database and search operations, simplifying your queries and reducing development time.
Deliver search features faster
Illustration of the search function locating documents.

Build search directly in MongoDB Atlas

There’s no need to stand up and manage a sync mechanism, write custom transformation logic, or remap search indexes as your database evolves.
Learn how with MongoDB University
Illustration of a magnifying glass on search results.

Remove operational heavy lifting

The fully managed Atlas platform automates provisioning, patching, upgrades, scaling, security, and disaster recovery while providing deep visibility into performance for both database and search.
Feature overview
mdb_query

Rich query DSL

Combine dozens of operators and options to build sophisticated search logic.

atlas_typo_tolerance

Fuzzy search

Return relevant search results regardless of typos or spelling errors.

atlas_search_synonyms

Synonyms

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

atlas_diverse_search_parameters

Custom scoring

Control how search results are scored and ranked, or boost promoted content.

mdb_vector_search

Semantic Search

Search any type of data based on meaning and context.

mdb_replica_set

Search Nodes

Higher availability and better performance at scale with dedicated infrastructure.

mdb_time_series

Query Analytics

Better understand search queries to improve search navigation, boost promoted results or filter relevant listings.

mdb_cli

Local Development

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

atlas_query_api

Visual Editor

Build and edit search indexes and queries in a guided and easy-to-use interface.

atlas_autocomplete

Autocomplete

Show suggestions for matching queries and update results as users type.

general_features_flexibility

Fast faceting

Slice and dice your data quickly to surface the most relevant information.

atlas_keyword_highlighting

Highlighting

Help users contextualize by calling out matching search terms in results.

“Migrating to MongoDB Atlas has made the API faster and more stable. Overhead with ETL and Elasticsearch affected the performance of the API — this is something we don’t see anymore as Atlas handles both ends of this brilliantly.”
Jake Reeves
VP of Technical Operations at Orbweaver
Read the details
“Because Atlas Search is embedded right alongside the database, everything is automated for us. Now we’ve got feature releases down to 3 hours, representing a time saving of over 90%.”
Johanes Mangold
Lead Solution Architect, Helvetia
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Full-text search with MongoDB

Keep your database and search in sync with fully integrated search functionality.
View Documentation
Build a search index
Create a JSON search index definition in a few clicks in the Atlas UI or a single Atlas admin API. Use our default dynamic index to get started, then define field mappings and other options specific to your data.
More on search indexes
Run a search query
Use the $search aggregation stage in the MongoDB Query API to define your search logic. Combine operators and options to fine-tune relevance, then export your query in your programming language of choice.
More on $search queries
Build a search index
Create a JSON search index definition in a few clicks in the Atlas UI or a single Atlas admin API. Use our default dynamic index to get started, then define field mappings and other options specific to your data.
More on search indexes
JSON
Run a search query
Use the $search aggregation stage in the MongoDB Query API to define your search logic. Combine operators and options to fine-tune relevance, then export your query in your programming language of choice.
More on $search queries
MongoDB Query API
JSON

Make your data discoverable with Atlas Search

Learn what you can build with our fully integrated full-text search solution
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Transform your customer experience
Learn how enterprises are delivering new search features 30% faster with Atlas Search
Download the White Paper

MongoDB University

Learn how to quickly and easily build out search queries with this free course.

Zebra Technologies logo

Enables a scalable data platform

Learn how Zebra improves big data analytics using MongoDB Atlas and Google Cloud.

Get the most out of Atlas

Power more data-driven experiences and insights with the rest of our developer data platform.
atlas_database

Database

Start with the multi-cloud database service built for resilience, scale, and the highest levels of data privacy and security.

atlas_charts

Charts

Bring your data to life instantly. Create, share, and embed visualizations for real-time insights and business intelligence.

atlas_data_federation

Data Federation

Included only in paid tiers

Analyze rich data easily across Atlas and AWS S3. Combine, transform and enrich data from multiple sources without complex integrations.

Get started with Search today

Get started in seconds. Use sample data to discover what our platform has to offer.
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GET STARTED WITH:
  • 95+ regions worldwide
  • Sample data sets
  • Always-on authentication
  • End-to-end encryption
  • Command line tools