Added NoSQL callout (#343)#369
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Hey Adam, apologies for the delay on getting to this. Thanks for writing this clear explanation, I think it answers a question people often have. |
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Mar 31, 2026
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Tweaks - "rigid" -> "fixed", remove the explicit vendor name (MongoDB) , give an example of a different application.
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| SQL is not the only tool for managing and analyzing large amounts of data. As described above, SQL databases store data in tables using a rigid schema. This works well for many applications, but larger, more complex projects may benefit from the more flexible approach provided by NoSQL databases. | ||
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| NoSQL databases are diverse, employing a variety of data structures tailored to specific use cases, but in general provide a scalable way to store, search, and establish relationships within large datasets that cannot easily be represented by a rigid, tabular schema. A more thorough discussion of the differences between SQL and NoSQL is beyond the scope of this lesson, but curious readers can start with [this comparison](https://www.mongodb.com/nosql-explained/nosql-vs-sql) by MongoDB, a NoSQL database vendor. |
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| NoSQL databases are diverse, employing a variety of data structures tailored to specific use cases, but in general provide a scalable way to store, search, and establish relationships within large datasets that cannot easily be represented by a rigid, tabular schema. A more thorough discussion of the differences between SQL and NoSQL is beyond the scope of this lesson, but curious readers can start with [this comparison](https://www.mongodb.com/nosql-explained/nosql-vs-sql) by MongoDB, a NoSQL database vendor. | |
| NoSQL databases are diverse, employing a variety of data structures tailored to specific use cases, but in general provide a scalable way to store, search, and establish relationships within large datasets that cannot easily be represented by a fixed tabular schema. A more thorough discussion of the differences between SQL and NoSQL is beyond the scope of this lesson, but curious readers can start with [this comparison](https://www.mongodb.com/nosql-explained/nosql-vs-sql) by a NoSQL database vendor. |
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| ### SQL vs. NoSQL | ||
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| SQL is not the only tool for managing and analyzing large amounts of data. As described above, SQL databases store data in tables using a rigid schema. This works well for many applications, but larger, more complex projects may benefit from the more flexible approach provided by NoSQL databases. |
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| SQL is not the only tool for managing and analyzing large amounts of data. As described above, SQL databases store data in tables using a rigid schema. This works well for many applications, but larger, more complex projects may benefit from the more flexible approach provided by NoSQL databases. | |
| SQL is not the only tool for managing and analyzing large amounts of data. As described above, SQL databases store data in tables using a rigid schema. This works well for many applications, but more complex projects may benefit from the more flexible approach provided by NoSQL databases. A common application for NoSQL databases is storing documents and files. |
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Adds brief discussion of NoSQL. Closes #343.