db nugget (4): Picking the wrong database bites you hard in production. Here are some deeper questions I ask before deciding on a database, beyond just the basic query capabilities we need.
on horizontal scaling
- can a single node manage your read/write ops
- how many nodes do you actually need?
- does your database have a cluster mode?
on performance
- what is the peak load the database can handle?
- how does database performance degrade as data grows?
- does it scale horizontally or vertically for your use case?
- what is a typical replication lag in distributed setups?
on guarantees
- what consistency guarantees does it provide?
- what is the data durability scheme and recovery time?
- does it support transactions?
on adoption
- what is the learning curve?
- how mature is the ecosystem (tooling, monitoring, community)?
- what is the ops overhead for backups, upgrades, and monitoring?
- how does it handle migrations and updates?
on compliance
- does it provide encryption at rest and in transit?
- how granular are access controls?
- what audit logging capabilities exist?
and, more importantly, the edge cases
- what happens when you hit documented limits?
- how does it behave under extreme load or starvation?
- what are the failure modes, and how gracefully does it degrade?
If only choosing a database were as easy as following a decision tree. Reality check: it is messy. Every DB has strengths, weaknesses, and trade-offs. The best way to choose wisely is to deeply understand what you are signing up for.
Your database is the backbone of your architecture; choose carefully.
hope this helps.