Our MongoDB Development Service covers document modelling, the queries built on top of it, and running the database in production. MongoDB suits data that does not sit comfortably in fixed columns: nested records, fields that differ per document, shapes that keep changing as the product changes. We run it ourselves, our own CRM is built on it, so this is not a technology we recommend from a distance.
Most MongoDB problems we are called in for are schema problems wearing a performance costume. We model documents around how they are actually read rather than how the data looks on paper, write aggregation pipelines instead of pulling everything into the application, and pick compound, text or TTL indexes based on real query plans. We set up Atlas, replica sets and backups you can restore, and when a document model turns out to be the wrong fit we say so and migrate to a relational one.
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