kysely VS dgraph

Hello HN! I was recently introduced to Kysely (https://github.com/kysely-org/kysely), a type-safe Typescript SQL query builder, and instantly fell in love! I got inspired and wanted to make something similar for AWS DynamoDB.

Thus, I developed Tsynamo! Instead of calling it type-safe, I decided to go with type-friendly, because the library is still in an early stage, and is not 100% type-safe.

Under the hood, Tsynamo compiles the built queries into AWS SDK v3 commands. I feel that Tsynamo simplifies the AWS SDK API quite a lot since the developer doesn't have to mess around with condition/filter expressions or attribute names/values themselves, and as a bonus gets autocompletion for building the queries!

There's also a playground to test it out in your browser: https://try.tsynamo.dev. It might not have the most up-to-date API of the library in use yet, but you can get the library's main idea from there.

Since the project is still in its early stages, it doesn't yet have 100% support for all DynamoDB features, like querying indexes. The next steps will be increasing the support coverage and perhaps adding automatic type generation as inspired by kysely-codegen (https://github.com/RobinBlomberg/kysely-codegen).

Would love to get some feedback, thanks in advance!

How does this compare with my current favorite lite sqlite wrapper kysely? https://kysely.dev/

ORMs suck, but raw SQL embedded in your code sucks too.

This might be good time to plug my TypeScript non-ORM: https://jawj.github.io/zapatos/.

I should say I also like what I've seen of https://kysely.dev/ and https://pgtyped.dev/.

As we can see using Kysely with Nextjs is very simple, and it allows us to create queries in a simple way, create tables, create migrations, transactions, etc.

I've switched to kysely (https://kysely.dev) to just build SQL instead and it's nice to have full SQL access but still be type safe to my schema. Enjoying it so far.

Kysely looks like the thing most people would want. It's not a full ORM though - just a well-typed query builder.

https://kysely.dev/

Kysely

Dgraph: A distributed and scalable graph database known for high performance. It's a good fit for large-scale graph processing, offering a GraphQL-like query language and gRPC API support.

Dgraph (GraphQL, DQL)

Have you tried dgraph.io?

DGraph – A distributed GraphQL database with a graph backend.

How does it compare to, say grakn (renamed https://vaticle.com/, I think?), or draph (https://dgraph.io/), or Ontotext's GraphDB (https://www.ontotext.com/products/graphdb/), or Datomic?

Consul Connect service mesh has a higher memory footprint, so on a small cluster with e5-medium nodes (2 vCPUs, 4 GB memory), you will only be able to support a maximum of 6 side-car proxies. In order to get an application like Dgraph working, which will have 6 nodes (3 Dgraph Alpha pods and 3 Dgraph Zero pods) for high availability along with at least one client, a larger footprint with more robust Kubernetes worker nodes were required.