python-fake-data-producer-for-apache-kafka VS Prisma

I had good experience with Aiven in the past, we needed something located in the EU: https://aiven.io/

Access to Aiven

One of the hardest questions we answer for our large enterprise customers is why they should choose Aiven instead of managing their own database and streaming services. It can seem counterintuitive that paying extra for a managed service can save you money. However, when we factor in economies of scale - particularly in regards to access to specialized knowledge and tooling - the case for managed services becomes clear. This was certainly the case for some of our MySQL clients earlier this year, where their investments in Aiven paid off in the form of a quietly managed bug fix.

And Kafka + Kafka Connect has https://www.confluent.io/ https://aiven.io/ https://upstash.com/ (and not quite Kafka, but protocol-compatible, https://redpanda.com/)

Fake data utility - https://github.com/aiven/python-fake-data-producer-for-apache-kafka

For PostgreSQL, similar offerings are: * Google Cloud SQL * AWS RDS * Digital Ocean Postgres * Azure Database for Postgres * Aiven, Instaclustr etc

Aiven - https://aiven.io/

Majority of companies layer DevRel on top of marketing as a sort of afterthought, and that’s usually a recipe for failure. All four co-founders at Aiven (the company where I work at) have been long-time open-source maintainers/contributors and highly value the work of DevRel. Similar examples can be seen at HashiCorp, where co-founder Armon Dadgar has been doing DevRel on the whiteboard since the early days of the company. Technical founders know the value of DevRel and know when to form a DevRel team. This is very different from bringing your first DevRel hire onboard and making them convince the leadership why the company needs DevRel in the first place. If your developer advocate needs to explain to the technical leadership the need for DevRel, that's a red flag for that individual and the company.

I wonder when Aiven https://aiven.io/ (or something similar) will start supporting hetzner.

In the world of software development, there are two kinds of developers: those who have never had to complain about ORMs and those who have actually used them. Whether it’s Django ORM for Python, Active Record for Ruby, GORM for Golang, Doctrine for PHP, or Prisma for TypeScript, a common issue persists: writing simple queries is straightforward, but constructing complex or optimized queries can take hours, if not days.

Support for a Union type #2505

generator client { provider = "prisma-client-js" binaryTargets = ["native", "rhel-openssl-1.0.x"] } datasource db { provider = "postgresql" // NOTE: When using mysql or sqlserver, uncomment the @db.Text annotations in model Account below // Further reading: // https://next-auth.js.org/adapters/prisma#create-the-prisma-schema // https://www.prisma.io/docs/reference/api-reference/prisma-schema-reference#string url = env("DATABASE_URL") } model Post { id Int @id @default(autoincrement()) name String createdAt DateTime @default(now()) updatedAt DateTime @updatedAt createdBy User @relation(fields: [createdById], references: [id]) createdById String @@index([name]) } // ... rest of the schema

Unfortunately Prisma hasn’t supported polymorphism yet. As such, you can't use inheritance to model the entity in the same way as in your programming language, as depicted in the above class diagram. The good news is that we could intimate it using table inheritance to imitate it.

In this project I am manually declaring the data types. For better type-safety, use Prisma, which automatically generates types based on your database schema.

When you're creating a full-stack application, you'll also need to write logic to interact with your database. For relational databases like Postgres, you can do this with SQL, or an ORM like Prisma.

Prisma is a modern TypeScript-first ORM that allows you to manage database schemas easily, make queries and mutations with great flexibility, and ensure excellent type safety.

Prisma

There have been multiple feature requests to add native support for AsyncLocalStorage to Prisma, but they haven't been met with much enthusiasm from the maintainers. Some people solved it by extending and overriding the client (which is arguably prone to breaking with updates).