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

For fake data, shameless plug for https://github.com/MaterializeInc/datagen/tree/main

Building and testing a real-time fraud detection application requires a continuous stream of realistic data. But generating that data can be a challenge. That's why we recently created the Datagen CLI, a simple tool that helps you create believable fake data using the FakerJS API.

Generate fake data with a normalized schema of your choosing with this tool from Materialize, then denormalize it and build a warehouse model.

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.