mammoth
postgres-benchmarks
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mammoth | postgres-benchmarks | |
---|---|---|
4 | 4 | |
492 | 69 | |
-0.2% | - | |
0.0 | 10.0 | |
7 months ago | about 3 years ago | |
TypeScript | JavaScript | |
MIT License | - |
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mammoth
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PostgresJs: The Fastest full featured PostgreSQL client for Node.js and Deno
Super happy user of this [1] it's rather minimalistic but great.
[1] https://github.com/Ff00ff/mammoth
- Mammoth: A type-safe Postgres query builder pur sang for TypeScript
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Kysely — A type-safe SQL query builder for typescript
This looks awesome. I had previously used Mammoth, but will dig into your library this weekend. Great job!
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Show HN: Write universally accessible SQL, not library-specific ORM wrapper APIs
In a type-safe environment I think you should just be able to switch your pur sang SQL builder to another dialect. Because of the type-safety you’ll be able to find incompatibilities at compile time which makes the migration easy enough (ignoring data migration). This avoids creating a weird ad hoc SQL dialect trying to fit all the others in a single API.
I work on Mammoth which is a pur sang Postgres query builder, see https://github.com/Ff00ff/mammoth.
postgres-benchmarks
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PostgresJs: The Fastest full featured PostgreSQL client for Node.js and Deno
There's a link to a simple Benchmark right after the title.
Here are two:
https://github.com/porsager/postgres-benchmarks
https://porsager.github.io/imdbench/sql.html
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Does Prisma work in production?
and really fast (https://github.com/porsager/postgres-benchmarks) even faster than the native postgres
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Show HN: Postgres.js – Fastest Full-Featured PostgreSQL Client for Node and Deno
> On the surface I'm not sure this explanation passes the smell test. Almost irrespective of how you get the data from your network card into v8 / nodejs, you're going to be crossing c++/v8 boundaries.
yes, you are, but the differences are the object creation that occurs. a single buffer coming from c/c++ (a socket, let's say) can be parsed and turned into a large number of objects in javascript much more quickly. yes, you're passing through that barrier once, but creating all of those objects from c++ and passing through it 20-30 times is a lot more expensive.
> Out of curiosity, do you have links to these other projects where they have similar benchmarking attempts/results?
how about pg vs pg-native? https://github.com/porsager/postgres-benchmarks#results
and unfortunately, I cannot find the original discussions from when node-redis went from native to pure javascript, but it was about a 30-40% speed increase originally if memory serves (I was the one who did that original conversion after a lot of deep dives into v8 and performance crossing the barrier).
as an aside, I'm also the maintainer of plv8, and am happy to discuss the same types of performance issues of dealing with jsonb vs json (which in Postgres is text): creating objects vs a simple JSON.parse() in c++ is a significant difference.
What are some alternatives?
slonik - A Node.js PostgreSQL client with runtime and build time type safety, and composable SQL.
plv8 - V8 Engine Javascript Procedural Language add-on for PostgreSQL
Sqlmancer - Conjure SQL from GraphQL queries 🧙🔮✨
prisma-redis-middleware - Prisma Middleware for caching queries in Redis
ucast - Conditions query translator for everything
postgres - Postgres.js - The Fastest full featured PostgreSQL client for Node.js, Deno, Bun and CloudFlare
rusqlite-model - Model trait and derive implementation for rusqlite
pgtyped - pgTyped - Typesafe SQL in TypeScript
Hangfire - An easy way to perform background job processing in .NET and .NET Core applications. No Windows Service or separate process required
Prisma - Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
pitwall-pg - A postgres library to help write safe, parameterized, transaction-aware SQL for when an ORM or query builder isn't the right tool for the job
node-redis - Redis Node.js client