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Based on our record, Mikro orm seems to be a lot more popular than TextQuery. While we know about 26 links to Mikro orm, we've tracked only 2 mentions of TextQuery. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Why typeorm over something like https://mikro-orm.io/? - Source: Hacker News / 4 months ago
In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:. - Source: dev.to / over 1 year ago
Mikro-ORM is a TypeScript ORM that focuses on simplicity and efficiency. It supports various SQL databases and MongoDB. Mikro-ORM is known for its simplicity and developer-friendly APIs. It provides a concise syntax for defining data models and relationships, making it easy to use. - Source: dev.to / over 1 year ago
I found MikroORM [0] to be quite reasonable if you're in the TS ecosystem already. It was also easy to do custom, raw queries, and really just felt like it wasn't in the way. [0] https://mikro-orm.io/. - Source: Hacker News / over 1 year ago
It also does code generation into its own module, so good luck with hoisting in a monorepo where you want multiple independent prisma schemas. MikroORM[1] is a much better alternative to Prisma in my opinion but any ORM carries some form of baggage. [1] https://mikro-orm.io/. - Source: Hacker News / almost 2 years ago
I don't get it. Are JSON and XML files more friendly to import vs CSV files? I always assumed CSVs were the standard. Any reasons to prefer structured formats? Shameless plug: I am working on a similar problem of Excel not being a great tool for large datasets. My desktop app[1] lets you import raw data files and query them using SQL. (The website needs to be updated, the app looks much better than the current... - Source: Hacker News / 4 days ago
I've been working on https://textquery.app -- query raw data from your desktop. I love exploring data, but it always felt clunky to juggle multiple tools, write scripts, or run commands just to import and query a dataset. TextQuery is the tool I built to solve that mess. You can import CSV, JSON, and XLSX files and start querying them instantly using SQL. Want to create a chart? Just hop over to the Visualize tab.... - Source: Hacker News / 8 days ago
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