MongoDB In 30 Minutes
We are diving into the MongoDB NoSQL database and looking at the fundamentals and the syntax to create, read, update and delete documents/data
MongoDB is a popular, open-source NoSQL database. NoSQL databases store data in a non-relational format, unlike traditional relational databases (SQL) that store data in tables with rows and columns.
Advantages of MongoDB:
- Flexible and scalable data model, allowing for easy changes to the structure of stored data
- High performance and efficient handling of large amounts of unstructured data
- Supports horizontal scaling with sharding, making it easy to scale as the volume of data grows
- Provides built-in aggregation and indexing to speed up data retrieval
- Offers rich query language and secondary indexes to support various data access patterns
Disadvantages of MongoDB:
- Limited support for complex transactions, making it unsuitable for applications that require atomic operations across multiple documents
- Performance can degrade with complex queries and a large number of collections.
- A lack of declarative query language like SQL can challenge some developers.
- Requires more system resources compared to some other NoSQL databases, such as Cassandra
Alternatives to MongoDB:
- Apache Cassandra: a highly scalable, distributed database designed for handling large amounts of data across many commodity servers
- CouchDB: a document-oriented database with a focus on ease of use and scalability
- Amazon DynamoDB: a fully managed NoSQL database service provided by Amazon Web Services (AWS)
- Redis: an in-memory data store that can be used as a database, cache, and message broker.