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Efficient MongoDB Development Services

MongoDB

MongoDB is a source-available cross-platform document-oriented database program. Classified as a NoSQL database, it uses JSON-like documents with optional schemas.

Solutions provided

• Storing/querying document and nested data
• Aggregation framework for complex analytics
• Real-time geo-spatial indexing and querying
• Replication, sharding for continuous availability
• Integrations with various programming languages

Benefits & significance

• Storing/querying document and nested data
• Aggregation framework for complex analytics
• Real-time geo-spatial indexing and querying
• Replication, sharding for continuous availability
• Integrations with various programming languages

What is a MongoDB document?

A set of key-value pairs comparable to JSON objects.
How do the schema work?

Documents can be configured with optional structured and types that can be applied.
What queries are supported?

Find, sort, filter using standard/text/geoNear queries.
How is it scaled?

By sharding data and replication across multiple machines.
What languages integrate?

Drivers available for Node.js, Java, Python, C++ etc.
When is it preferred over SQL?

For semi-structured, dynamic and complex nested type of data.

MongoDB

Solutions provided

• Storing/querying document and nested data • Aggregation framework for complex analytics • Real-time geo-spatial indexing and querying • Replication, sharding for continuous availability • Integrations with various programming languages

Benefits & significance

• Storing/querying document and nested data • Aggregation framework for complex analytics • Real-time geo-spatial indexing and querying • Replication, sharding for continuous availability • Integrations with various programming languages

What is a MongoDB document?

How do the schema work?

What queries are supported?

How is it scaled?

What languages integrate?

When is it preferred over SQL?

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• Storing/querying document and nested data
• Aggregation framework for complex analytics
• Real-time geo-spatial indexing and querying
• Replication, sharding for continuous availability
• Integrations with various programming languages

• Storing/querying document and nested data
• Aggregation framework for complex analytics
• Real-time geo-spatial indexing and querying
• Replication, sharding for continuous availability
• Integrations with various programming languages