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Home/ Questions/Q 7545497
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Editorial Team
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Editorial Team
Asked: May 30, 20262026-05-30T08:56:42+00:00 2026-05-30T08:56:42+00:00

MongoDB seems appealing because in JavaScript front-end applications, especially those that leverage Backbone and

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MongoDB seems appealing because in JavaScript front-end applications, especially those that leverage Backbone and its collections, all the data and application state is organized in deeply nested JSON structures.

Building a relational DB schema in MySQL can be a pain, because you are essentially breaking down a JSON object into granular tables, determining the foreign keys and restraints. Its a real excessive exercise for someone who doesn’t maintain databases for a living.

Will MongoDB address these issues? I assume i could simply save a Backbone Collection if it is structured correctly and be able to join the data later across other related documents? Or is MongoDB overkill and more of a performance machine instead of a document storage solution?

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  1. Editorial Team
    Editorial Team
    2026-05-30T08:56:44+00:00Added an answer on May 30, 2026 at 8:56 am

    MongoDB seems appealing because in JavaScript front-end applications,
    especially those that leverage Backbone and its collections, all the
    data and application state is organized in deeply nested JSON
    structures.

    Yea, in mongodb you can store any json structure. Nesting is a one of benefits of mongodb. You can store data in natural way without thinking about relations. You can store data directly as your client JavaScript require.

    Building a relational DB schema in MySQL can be a pain

    It for sure highly depends on structure you want store, but if you talking about deeply nested json structures mongodb will work best for you.

    Or is MongoDB overkill and more of a performance machine instead of a
    document storage solution?

    No, mongodb not just performance machine, it is perfect storage for unstructured, deeply nested documents. And in same time mongo have very good performance, especially when working with highly deep documents (because no need join them).

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