Database Decisions That Haunt You 2 Years Later
Choosing the right database can lead to significant technical debt if not done thoughtfully. Many teams face challenges two years after their initial decision, often due to a lack of proper planning and understanding of their data needs. Key considerations include data relationships, read/write patterns, and the team's expertise with the chosen database technology.
- ▪Many teams experience performance issues and increased costs two years after selecting a database.
- ▪Common mistakes include choosing a schema-less database without understanding data relationships and failing to set up proper indexing.
- ▪It's crucial to consider data growth, access patterns, and team expertise when selecting a database.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3892554) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } qodors Posted on May 16 Database Decisions That Haunt You 2 Years Later #architecture #database #performance #systemdesign Nobody brags about their database choice two years in. At the start it's all excitement. "MongoDB is so flexible." "Postgres handles everything." "Firebase gets us to market fast." Fast forward 24 months. Your queries take 8 seconds. Your hosting bill tripled. Your team spends Fridays firefighting data issues instead of building features.
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