What can mongodb store?
MongoDB is a NoSQL database that can store the following types of data: JSON documents binary data (GridFS) geospatial data time series data graph data (via GraphDB) unstructured data
What can MongoDB store?
MongoDB is a NoSQL database, which means it is not based on a traditional relational data model, but uses a JSON-like document structure to store data. It can store various types of data, including:
1. JSON documents
MongoDB is best suited for storing JSON documents. A JSON document is a key-value pair, where the key is a string and the value can be any type of data (such as a string, number, boolean, or array).
2. Binary data
MongoDB can also store binary data, such as images, videos, and audio files. This data is stored in a special collection called GridFS, which stores large files into smaller chunks.
3. Geospatial data
MongoDB provides support for geospatial data, including points, lines and polygons. This is useful for storing and processing location data.
4. Time series data
MongoDB can store time series data, that is, data organized in chronological order. It also provides a built-in aggregation framework that makes analyzing and processing time series data easy.
5. Graph data
MongoDB recently added support for graph data storage. Users can integrate with MongoDB using a graph database called Neo4j to store and process complex relationships.
6. Unstructured Data
MongoDB excels at storing unstructured data such as text, HTML, and XML. It can store these data as string or binary values and allow users to query them through full-text search.
Note:
- MongoDB is not suitable for relational data because it does not provide schema, foreign key constraints or transaction processing.
- Document size limit in MongoDB is 16MB.
- MongoDB is very efficient for processing large amounts of unstructured data, but it may not perform as well as relational databases for structured data.
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