Multi-Model Databases: The Antidote to Your Data Sprawl Nightmare
Your app starts simple: users in Postgres. Then profiles need docs, recs want graphs, AI craves vectors. Multi-model databases say 'stop the madness'—but do they really simplify?
⚡ Key Takeaways
- Multi-model databases cut sprawl by unifying relational, graph, docs, and vectors in one system.
- Ideal for growing teams; ops costs drop 40-60% versus polyglot stacks.
- Leaders like ArangoDB and Couchbase lead, but test perf—hype outpaces reality in weak implementations.
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Originally reported by dev.to
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