In this section, you’ll learn about some of MongoDB’s more important features. So far, you’ve learned what MongoDB is and what its main goals are. Finally, MongoDB is freely available and has great Python support. This presents you with a powerful tool kit to access and work with your data. MongoDB provides a powerful query language that supports ad hoc queries, indexing, aggregation, geospatial search, text search, and a lot more. You can model these documents to map the objects in your applications, which makes it possible to work with your data effectively. It stores data in flexible JSON-like documents. MongoDB is a distributed database, so high availability, horizontal scaling, and geographic distribution are built into the system.
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With this brief background on SQL and NoSQL databases, you can focus on the main topic of this tutorial: the MongoDB database and how to use it in Python. But you still don’t get many of the NoSQL features, such as horizontal scaling and the user-friendly interface. With this, you can now achieve many of the same results with both technologies. For example, database systems, such as PostgreSQL, MySQL, and Microsoft SQL Server now support storing and querying JSON data, much like NoSQL databases. In recent years, SQL and NoSQL databases have even begun to merge. Some common examples of SQL databases include: Sometimes the right solution is to use a combination of SQL and NoSQL databases to handle different aspects of a broader system. You also need to consider how the database fits into your specific scenario and your application’s requirements. When choosing a database, you should consider its strengths and weaknesses carefully. There are many other differences between the two types of databases, but those mentioned above are some of the more important ones to know about.
Supported, depending on the specific NoSQL database Document based, key-value pairs, graph, or wide-columnĪ predefined and strict schema in which every record (row) is of the same nature and possesses the same propertiesĪ dynamic schema or schemaless which means that records don’t need to be of the same nature
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