Index data with ease

Cloud search can automatically synchronize your MongoDB database in realtime. Simply configure the data which you intend to index from the dashboard without writing any scripts.

You can also perform CRUD via the MongoDB driver or the REST API. You can query and also manually insert, update and delete data in realtime and use the search engine as your primary document database.

Creating the search index is simple. From the dashboard, select the fields in the document you wish to index and specify the corresponding index type or use createIndex from the MongoDB API.

Powerful search engine

Complete search engine including full-text search, phrase, prefix and proximity search, typo tolerance, faceting, sorting, geo-search, google like type-ahead suggestions, Highlighting, multi-lingual, relevance ranking and query-time rank expressions.

SQL Select data analytics

When it comes to ad hoc queries and rich analytics, The search engine supports a variant of SQL Select designed to process JSON documents of any complexity.

You can use SQL Select directly in your applications without any performance cost. All the queries execute completely in-database and leverages indexes.

You can use SQL Select to perform complex join operations for cases where it makes sense to separate documents into their own collection instead of lumping all the data into one giant document.

Real-time applications

Build real-time and reactive UI applications such as chat and other messaging apps that can support massive concurrent users by using the tailable cursor feature available in MongoDB drivers. You can tail any query that is issued to the database including sort queries.

Query Pad and Popular IDE Support

From the NodeChef dashboard, you can easily test and debug your search and SQL queries. The query pad features a rich query editor and a query results display section.

Cloud search also integrates with popular mongoDB IDE tools and the mongo shell. You can use these tools to browse and edit your data in the search engine.

Cost-Effective and Secure

Cloud search offers low total cost of ownership for your search applications compared to operating a search environment on your own. There is no limitation on the number of documents or operations.

Cloud search supports SSL encryption on the wire, enforces master key access for all CUD operations and an application ID for read operations. Cloud search uses strong cryptographic methods to secure your search server (SCRAM-SHA1) and the REST API front end.