What are the different types of NoSQL databases?

Due to the numerous data types and formats available, NoSQL databases are also categorized through multiple types, with most NoSQL databases falling into the categories of document databases, column databases, graph databases, and key-value stores. Each NoSQL database reflects a specific database structure that corresponds to a unique data type.

What NoSQL databases are useful for data scientists?

Depending on the type of information and data that is collected, there are many NoSQL databases that can be useful for data scientists. When working with websites or pages, NoSQL databases like MongoDB are essential to managing and storing document-based data.

What is a relational database?

Relational database systems or SQL databases are structured in such a way that you are able to compare datasets within the system. These systems are generally structured in a rows-and-column format which makes it easy to make these comparisons within the dataset and to store data within tables.

Which NoSQL database should I use?

If your application needs to process thousands of requests per second, NoSQL databases like Cassandra or Redis are a better fit. Example: Real-time analytics systems, where large amounts of data need to be ingested and processed with low latency.

Which database should I use if I'm working with unstructured data?

Unstructured or Semi-Structured Data If you’re working with data that doesn’t fit neatly into a table—such as documents, JSON, XML, or multimedia files—a NoSQL database is better suited. NoSQL databases like MongoDB or Couchbase can store and retrieve this type of data without needing a rigid schema.

🏅 Popular Non Relational Databases

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