MongoDB
drizzle-orm
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MongoDB | drizzle-orm | |
---|---|---|
248 | 47 | |
25,418 | 19,712 | |
1.1% | 11.8% | |
10.0 | 9.7 | |
5 days ago | 2 days ago | |
C++ | TypeScript | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MongoDB
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From Zero to CRUD Hero: Building Your First Backend API in JavaScript
First, visit MongoDB Atlas and create an account, or sign in if you already have one. This article will guide you through the process of creating a MongoDB account. You should be redirected to your dashboard once you have completed the process. Locate the Connect button and click it.
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Understanding SQL vs. NoSQL Databases: A Beginner's Guide
On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra.
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Building Llama as a Service (LaaS)
I built each API with Node.js, Express, and Docker. Services connected to a NoSQL MongoDB database.
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Time Series Blob Data: ReductStore vs. MongoDB
In edge computing, managing time series blob data efficiently is critical for performance-sensitive applications. This blog post will compare ReductStore, a specialized time series database for unstructured data, and MongoDB, a widely-used NoSQL database.
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Build Your Own Uptime Monitor with MeteorJS + Fetch + Plotly.js ☄️🔭
MongoDB to store our data as documents, close to JS objects
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How to choose the right type of database
MongoDB: Known for its ease of development and strong community support, MongoDB is effective in scenarios where flexible schema and rapid iteration are more critical than strict ACID compliance.
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How to create a dynamic AI Discord bot with TypeScript
MongoDB
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Mastering Microservices: A Hands-On Tutorial with Node.js, RabbitMQ, Nginx, and Docker
Ensure you have MongoDB installed for data storage. You can download MongoDB Community Server from MongoDB's official website or use the cloud cluster.
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How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
We will be using MongoDB as a database on both the Auth microservice and notifications microservice, sign up for a MongoDB Atlas account here incase you donot have one and donot have its desktop application(mongodb campass) installed and would like to use mongodb atlas. This cloud-based database service offers a free tier and simplifies the process of managing MongoDB databases.
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Build a GraphQL API with NodeJS and TypeScript || A Comprehensive Guide
Head over to MongoDB and create an account or login to grab your connection string.
drizzle-orm
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Get started with Drizzle ORM and Xata's Postgres service
Drizzle ORM is a very popular TypeScript ORM that provides type safe access to your database, automated migrations, and a custom data model definition.
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Shape Typing in Python
> being able to have a completely typesafe ORM such as Drizzle (https://orm.drizzle.team/) feels like a Rubicon moment, and touching anything else feels like a significant step backwards.
Alright, but there's nothing stopping you from having a completely typesafe ORM in python, is there?
Sure, there's isn't really one that everyone uses yet, but the python community tends to be a bit more cautious and slower to adopt big changes like that.
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Don't use your ORM entities for everything – embrace the SQL
Drizzle [1] comes pretty close the last time I checked.
[1]: https://orm.drizzle.team
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I Deployed My Own Cute Lil’ Private Internet (a.k.a. VPC)
Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).
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Exploring Astro DB
It's just SQL so you can take it out at any moment and move to any other DB provider. The package for working with Astro DB, @astrojs/db, includes Drizzle ORM so migration to a different provider should be relatively painless
- ORMs are nice but they are the wrong abstraction
- Drizzle TypeScript ORM
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Basic analytics with Vercel Postgres, Drizzle & Astro
Since Vercel's analytics pricing is a bit too expensive for my use case (where I hit the limit of 2,500 requests per month), and I didn't like using Google Analytics (not a big fan of Google), I decided to build my own analytics dashboard. Databases was something I didn't work with much before directly, so I decided to use an ORM, Drizzle, which is quite lightweight and easy to use.
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Edge Functions: Node and native NPM compatibility
do yourself a favor and ditch Prisma. It's a bloody mess of a project and codebase. I recommend https://github.com/drizzle-team/drizzle-orm to anyone that'll listen.
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Drizzle is just as unready for prime-time as Prisma, what else is there?
I myself ran into some issues when I started using drizzle with mysql. They had issues in the way they were handling datetime types. At the time I just used workarounds but then decided to submit a PR since the solution was pretty simple. I just liked drizzle's approach so much that I ended up committing more PRs. At this point, I'm one of the mayor contributors of the library. I think that we have to give some leeway to OSS libraries. Managing OSS is not easy, everybody's issues are important and mayor to them, but there's just so many hours in the day to work for free (or very little). At the end of the day, it's just software prone to have issues.
What are some alternatives?
mongo-express - Web-based MongoDB admin interface, written with Node.js and express
kysely - A type-safe typescript SQL query builder
Marten - .NET Transactional Document DB and Event Store on PostgreSQL
Prisma - Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
LiteDB - LiteDB - A .NET NoSQL Document Store in a single data file
MikroORM - TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, MS SQL Server, PostgreSQL and SQLite/libSQL databases.
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
knex-tree - Query hierarchical data structures in sql with knex
SQLAlchemy - The Database Toolkit for Python
hono - Web Framework built on Web Standards
Apache Ignite - Apache Ignite
Sequelize - Feature-rich ORM for modern Node.js and TypeScript, it supports PostgreSQL (with JSON and JSONB support), MySQL, MariaDB, SQLite, MS SQL Server, Snowflake, Oracle DB (v6), DB2 and DB2 for IBM i.