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@suckhoe24gio.vn: Cao dán gừng vai gáy tê bì chân tay #miengdangung #miengdangungvaigay #caodanthaoduoc #miengdanvaigay #miengdangungthaoduoc

Sức Khỏe 24Giờ
Sức Khỏe 24Giờ
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Thursday 03 September 2026 13:48:43 GMT
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Tarte- this is gorgeous. And dark undereyes where?? 🎀
Tarte- this is gorgeous. And dark undereyes where?? 🎀
-là #cejour-là
-là #cejour-là
Lối sống đáng học hỏi của nữ tỷ phú trẻ nhất thế giới, Lucy Guo #fyp #tiktokviral #learnontiktok #viral
Lối sống đáng học hỏi của nữ tỷ phú trẻ nhất thế giới, Lucy Guo #fyp #tiktokviral #learnontiktok #viral
Every app on your phone runs on a database. But not the same one. 📱 Your bank, your shopping app, your login, your ride app, your search bar, your fitness watch, your music app. Seven apps, seven completely different kinds of data. Here's the cheat sheet 👇 🏦 Bank → Relational (Postgres, MySQL) Linked tables and all-or-nothing transfers. We actually killed a transfer halfway through. The balance didn't move by a single cent. 🛍️ Shop → Document (MongoDB) A T-shirt has a size and a color. A laptop has a battery and a processor. Each product keeps only the details it needs. 🔑 Login → Key-Value (Redis) Like a coat check. Hand over a ticket, get your coat back. We measured it at 0.015 ms per lookup. 🚗 Rides → Wide-Column (Cassandra) Millions of location pings that never stop. Spread across many machines, and it keeps going even when one dies. The catch: you plan your questions in advance. 🔍 Search → Search Engine (Elasticsearch) Type
Every app on your phone runs on a database. But not the same one. 📱 Your bank, your shopping app, your login, your ride app, your search bar, your fitness watch, your music app. Seven apps, seven completely different kinds of data. Here's the cheat sheet 👇 🏦 Bank → Relational (Postgres, MySQL) Linked tables and all-or-nothing transfers. We actually killed a transfer halfway through. The balance didn't move by a single cent. 🛍️ Shop → Document (MongoDB) A T-shirt has a size and a color. A laptop has a battery and a processor. Each product keeps only the details it needs. 🔑 Login → Key-Value (Redis) Like a coat check. Hand over a ticket, get your coat back. We measured it at 0.015 ms per lookup. 🚗 Rides → Wide-Column (Cassandra) Millions of location pings that never stop. Spread across many machines, and it keeps going even when one dies. The catch: you plan your questions in advance. 🔍 Search → Search Engine (Elasticsearch) Type "blak watrproof runing shoes" and still get the right result. It works like the index at the back of a book. ⌚ Fitness → Time-Series (Timescale, InfluxDB) One heart-rate reading per second is 604,800 readings a week. Every value is tied to a time. 🎵 Music → Vector (Pinecone, Weaviate, pgvector) Why does the next song just feel right? It's found by meaning, not by matching words. The same idea powers AI chatbots. The twist: most apps don't need all of these. Postgres alone can store documents, search text and even store vectors. So start simple. Postgres for your core data, Redis when you need speed, and the rest only when a real problem shows up. The best database isn't the most powerful one. It's the one that fits the problem you actually have. 💾 Save this for your next project 💬 Which one does your app use? Drop it below 👇 #database #systemdesign #softwareengineering #programming #backend


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