Document Databases — MongoDB and CouchDB
When schema-less works, when it doesn't, and the MongoDB trap that catches every team eventually.
Document databases promise freedom. No rigid schemas. No migration headaches. Just throw your data in as JSON and go. It sounds like paradise — especially when you're staring down a 47-column relational table and a migration file that's 200 lines long.
And for certain use cases, that freedom is genuinely valuable. The problem is that "certain use cases" is much narrower than the marketing suggests. Most teams that adopt document databases for their primary data store discover — usually about 18 months in — that they've traded one set of problems for a much worse set of problems.
Let's understand when document databases shine and when they're a trap.
How Document Databases Work
Instead of tables with rows and columns, document databases store documents — self-contained JSON (or
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