Startup Mistakes: Choice of Datastore
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Startup Mistakes: Choice of Datastore
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Re: Startup Mistakes: Choice of Datastore
#2Re: Startup Mistakes: Choice of Datastore
#3Just pick something and build an MVP with it. Then get on with the hard part of finding paying customers. You can fix the bad tech decisions later. Without customers it won't matter which database you used before your startup failed.
Re: Startup Mistakes: Choice of Datastore
#4Re: Startup Mistakes: Choice of Datastore
#5Re: Startup Mistakes: Choice of Datastore
#6Re: Startup Mistakes: Choice of Datastore
#7I feel like MongoDB/NoSQL is a horse that's been beaten so much in the last few years that no one is actually making that choice nowadays. Hasn't everyone already learned to stick with Postgres?
Re: Startup Mistakes: Choice of Datastore
#8So he used a database 7 years ago that was about one year old at the time and had a bad experience with it and now continues to judge it to this day without tracking the evolution since, including schemas in the current release candidate.
Re: Startup Mistakes: Choice of Datastore
#9Just pick something and build an MVP with it. Then get on with the hard part of finding paying customers. You can fix the bad tech decisions later. Without customers it won't matter which database you used before your startup failed.
Re: Startup Mistakes: Choice of Datastore
#10Just pick something and build an MVP with it. Then get on with the hard part of finding paying customers. You can fix the bad tech decisions later. Without customers it won't matter which database you used before your startup failed.
Exactly. This article typifies premature optimisation. If MongoDB lets you prototype faster, then use it until you have enough paying customers to warrant a refactor.