Choosing the right ORM for TypeScript: Drizzle, Prisma, TypeORM, Sequelize, MikroORM

Hi Everyone 👋 Just wanted to share something I found super helpful for anyone using GraphQL with NestJS. I recently used a package called @nestjs-query/query-graphql, and it honestly made my life so much easier when building GraphQL APIs. If you’ve worked with GraphQL in NestJS before, you know how much time goes into writing resolvers for CRUD operations, adding pagination, sorting, filtering, and handling relationships. This package takes care of all that automatically! 🙌 💡 What I really liked: Built on top of NestJS, so it fits perfectly into your existing setup. Auto-generates CRUD resolvers — no need to write them manually. Includes subscriptions for all CRUD operations by default. Supports pagination, filtering, and sorting right out of the box. Works seamlessly with TypeORM, Sequelize, and Mongoose. Supports all common relationships — one-to-one, one-to-many, many-to-one, and many-to-many. Still allows full customization when you need more control. Since using it, I’ve noticed a big improvement in both development speed and code cleanliness. It’s great for quickly spinning up a GraphQL API without all the repetitive setup. If you’re working with NestJS and GraphQL, I’d highly recommend checking out @nestjs-query/query-graphql — it’s definitely a time-saver! ⚡ Docs: https://lnkd.in/gvcJ_-iG #nestjs #graphql #nestjsquery #typescript #webdevelopment #api #backend #developer #productivity

New dev log series, Card Splitter. One shared card, two people, too many spreadsheets. I am building a real fix, and I am documenting the messy, useful bits as I go. What you will see, architecture choices with reasons, tests first, trade offs, refactors, and the code evolving in public. Stack, Deno, Hono, TypeScript, React, PostgreSQL, Drizzle ORM, Zod. Principles, TDD first, clean architecture, SOLID. Why it matters, we usually only see polished releases, not the thinking that gets us there. This series opens the door, decisions, dead ends, lessons learned, and what is next. Start here, read the intro and follow along, https://lnkd.in/g8-SCR48 #DevLog #TypeScript #React #Deno #PostgreSQL #DrizzleORM #TDD #CleanArchitecture #PersonalFinance #OpenSource

Solving the N+1 Problem in Nest.js + TypeORM + GraphQL Ever noticed your GraphQL queries getting slower as your data grows? You might be running into the N+1 problem. 😬 💡 What’s the N+1 problem? You fetch a list of records (say, posts), and for each post, you make another query to retrieve related data (such as comments). So instead of running 1 query, you end up running 1 + N queries 😬, and that’s where performance drops fast. ⚙️ How to fix it: ✅ Use leftJoinAndSelect or relations in TypeORM to fetch everything in a single query. ✅ Implement DataLoader in GraphQL to batch and cache requests. ✅ Avoid running queries inside loops in your resolvers or services. 🚀 The result: → Fewer queries → Faster APIs → Smoother GraphQL performance Mostly, I applied this optimization in my Nest.js + TypeORM projects, and the speed boost is incredible 🔥 Have you ever faced the N+1 issue in your backend? How did you handle it? #NestJS #TypeORM #GraphQL #BackendDevelopment #WebPerformance #WebDev #NodeJS

💭 The Day I Realized My Code Was Too Dependent You might’ve seen people using an ORM directly inside their codebase which honestly makes sense. It removes a lot of overhead and helps you move fast. But that convenience comes with a cost dependency. When your entire backend logic is tightly coupled to an ORM, you’re locked in. And if that open-source library ever drops support or changes direction, you’re suddenly facing a long, painful migration. That’s when I decided to decouple Prisma completely from my core logic. Now my repositories don’t even know Prisma exists everything runs behind adapters and interfaces. If I switch ORM tomorrow, the rest of my codebase stays untouched. Some might argue that doing this in a small project isn’t really necessary and I get that. But here’s how I see it: today it’s a small project, tomorrow it might grow… or maybe it won’t. Either way, that’s the choice you make as an engineer to build with scalability and clarity in mind from day one. Because once a project starts growing, refactoring foundational design decisions becomes 10x harder. Coming from a .NET / C# background, moving to Node.js + Express + PostgreSQL was both tricky and exciting. I brought my OOP mindset with me strong boundaries, clear abstractions, and dependency injection. And yeah, I know frameworks like NestJS already offer these patterns but then again, that introduces another layer of dependency. I wanted my architecture to stand on its own. As Uncle Bob says in Clean Architecture: “Frameworks are tools, not ways of life. Don’t let them dictate your architecture.” That line stuck with me and it’s exactly why I built this way. Because no matter the stack, good architecture and decoupling always pay off. #SoftwareEngineering #CleanArchitecture #BackendDevelopment #NodeJS #PostgreSQL #ExpressJS #CleanCode #DesignPrinciples #SystemDesign #CodeQuality #Engineering #SoftwareDesign

I reduced my endpoint duration from 6s to 1s using this simple change. I had a REST API in my NestJS backend that was doing multiple TypeORM queries inside a transaction. Each call looked harmless. Together, they cost 5 to 6 seconds per request. Instead of adding caching or scaling the server, I combined all those separate DB calls into one well-structured SQL query. The result? 6 seconds reduced to 1 second. It’s a reminder that: - ORMs like TypeORM are great for maintainability, but they abstract away performance details. - Complex business logic often deserves raw SQL for precision and speed. - Every extra DB round-trip is a hidden tax. If you’re leading a backend or reviewing PRs, keep an eye out for: - Repeated repository calls inside loops. - Multiple queries within a single request. - Missing query profiling during code reviews. Sometimes, the fastest optimization is not a new tool or some hidden recipe, it’s writing better SQL. Curious if others still prefer ORMs for heavy logic or switch to SQL when speed matters? #NestJS #TypeORM #BackendEngineering #FullStackDevelopment #SoftwareArchitecture #DatabaseOptimization #SQLPerformance #WebPerformance #CTO #TechLeadership #SeniorDevelopers

💡 JSON: The King of Data with No Rules 👑📦 JSON is like that chill friend who solves all problems… but also creates a few new ones on Friday evening 😅 Here are some funny facts every developer will relate to: 📌 JSON Fun Facts • JSON has only 2 real enemies: 1️⃣ Commas 2️⃣ Missing Commas 😭 • JSON doesn’t support comments… Because developers shouldn’t explain anything anyway 🤫 • If JSON is invalid, it’s because of one invisible space from 2017 🫥 • JSON says: “I’m lightweight!” Also JSON after production: 5MB + base64 images 💪 • True Story: JSON.parse() has caused more tears than breakups 💔 • Nested JSON objects look like: { { { { HELP } } } } 🕳️ • It replaced XML everywhere… except in enterprises that still fear change 👴 • Debugging syntax errors in JSON = Finding a missing comma in a dense forest 🌲 ✨ Actual Fun Fact: JSON was invented in 2001… and became popular because JavaScript claimed it like a proud parent 👶 🎯 Moral of the story: JSON keeps the world running… and developers awake at 3 AM. 😵💻 #JSON #WebDevelopment #TechHumor #JavaScript #API #Frontend #Backend #ProgrammingLife #DeveloperHumor #LinkedInHumor #DataFormats

You can reuse your GraphQL queries in Django without going through a full request/response cycle with just a little bit of work. Blog post linked in comments.

Stop the Bloat: Introducing lite-schema-check, the Zero-Dependency Runtime Validator You Didn't Know You Needed Hello DEV Community! I've just released a minimal, zero-dependency NPM package called lite-schema-check and I think it directly addresses a common pattern in the JavaScript ecosystem. We all know the moment: we need to check if a simple object—a configuration file, an options parameter, or a JSON payload—has the right keys and types. The common choices are either writing verbose, custom type checks or pulling in a huge dependency like Zod or Joi. lite-schema-check is the ultimate minimalist solution, built for Node.js microservices and lightweight libraries where every kilobyte counts. What is it and Why is it "Lite"? This utility exports a single, pure function: validate(object, schema). It performs the minimum viable validation: it only checks for key presence and primitive type matching. It validates for string, number, boolean, array, and object. The core philosophy is minimalism over complex data modeling. It doesn't do nested validation, unions, or transforms—that's what the bigg https://lnkd.in/gDccjZyZ

The code worked flawlessly for 7 years… until one innocent await brought everything down. 😅 We recently hit a strange production issue. A module that had been stable for years suddenly started producing inconsistent results — but only in production, under high load. Local? Fine. Staging? Perfect. Production? Absolute chaos. Logs started showing errors! I Panicked. The only change I had made: adding an await to call a new asynchronous function. After a rollback and some deep digging, I found the culprit... A variable named queryParams wasn’t declared inside any function — meaning it lived in global scope. So when one request paused on await, another concurrent request came in and modified the same object. When the first one resumed, it unknowingly worked with the mutilated data, to run a sql query, which started throwing errors. A true race condition, hiding in plain sight for 7 years — only revealed by a single async call. We replicated the behavior by bombarding the staging environment with concurrent requests, confirmed the theory, and fixed it by simply scoping the variable locally. Lesson learned: Even in single-threaded Node.js, async code can create concurrency issues if shared state isn’t handled carefully. Sometimes, one misplaced variable is all it takes to cause production chaos. The bug wasn’t new — it was just waiting 7 years for the right await to wake it up. 😅 #nodejs #backend #javascript #developer #expressjs

📢 Exciting news! linkedlist v0.2 has been released! 🚀 I am thrilled to announce a significant update to my TypeScript data structures library. The latest version now includes the addition of DoublyLinkedList, complementing the existing SinglyLinkedList implementation. 🆕 What's New in v0.2: - DoublyLinkedList: Enjoy full bidirectional traversal capabilities with prev/next pointers - Enhanced API: Introducing findFirst(), findLast(), deleteFirst(), deleteLast(), removeHead(), and removeTail() for precise control - Bidirectional search: Optimized find operations that scan from both ends - Backward iteration: Native support for reverse traversal Both implementations continue to offer: ✅ Type-safe features with complete TypeScript generics ✅ Efficiency with O(1) append/prepend operations ✅ Iterability with for...of and spread syntax ✅ Chainable functionality with fluent method APIs ✅ Cross-platform compatibility for Deno, Bun, Node.js, and browsers Whether you require the minimal memory footprint of singly linked lists or the bidirectional flexibility of doubly linked lists, this package caters to your needs. 📦 To Install: npx jsr add @tamatar/linkedlist 🔗 JSR: https://lnkd.in/dZPmb2kX 💻 GitHub: https://lnkd.in/dJszNeJX Share your thoughts on the new features! #TypeScript #JavaScript #DataStructures #OpenSource #WebDevelopment #Programming #SoftwareEngineering