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What is the difference between a NoSQL and structured storage?

Data Structure SQL databases are table-based, while NoSQL databases are document, key-value, graph, or wide-column stores. Some examples of SQL databases include MySQL, Oracle, PostgreSQL, and Microsoft SQL Server. NoSQL database examples include MongoDB, BigTable, Redis, RavenDB Cassandra, HBase, Neo4j, and CouchDB.


Is NoSQL a structured database?

One key difference between NoSQL databases and traditional relational databases is the fact that NoSQL is a form of unstructured storage. This means that NoSQL databases do not have a fixed table structure like the ones found in relational databases.

What is NoSQL storage?

NoSQL databases store data in documents rather than relational tables. Accordingly, we classify them as "not only SQL" and subdivide them by a variety of flexible data models. Types of NoSQL databases include pure document databases, key-value stores, wide-column databases, and graph databases.

What is the difference between NoSQL and relational database?

Relational databases are table-based. NoSQL databases can be document based, graph databases, key-value pairs, or wide-column stores. Relational databases were built during a time that data was mostly structured and clearly defined by their relationships. Today, we know that data today is much more complex.

Can you use NoSQL for structured data?

Flexibility: NoSQL databases generally provide flexible schemas that enable faster and more iterative development. The flexible data model makes NoSQL databases ideal for semi-structured and unstructured data.

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