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Curious how piperider compares to great expectation ?

There's also a H3 extension (https://github.com/isaacbrodsky/h3-duckdb). Looks nice.

Excellent question!

Upon initial comparison, VulcanSQL and Cube.dev might seem to offer similar functionalities, as both serve APIs from data warehouses. However, the primary distinction lies in our respective focus areas.

Cube.dev puts more emphasis on constructing a semantic layer, whereas VulcanSQL is dedicated to addressing high-concurrency, low-latency scenarios. We achieve this through a serverless approach, seamlessly integrated with DuckDB.

This distinction in focus sets VulcanSQL apart, providing a unique solution to handle specific performance scenarios.

Hi, thanks for you comment.

I'm William, contributor of VulcanSQL.

We're an API framework, not a database like ClickHouse. We enable data engineers to build data APIs fast on top of their data warehouse, which including ClickHouse. In fact, you can see from our issues (https://github.com/Canner/vulcan-sql/issues/138), ClickHouse users actually ask us to bring ClickHouse connector to VulcanSQL.

I can imagine that updating security patches in challenging network conditions could be difficult. Or do satellites actually have better network accessibility than I might think?

Hi developers.

My team open sourced a simple tool we used to deploy our es6 code to AWS Lambda.

Simple API with webpack settings, returned with zip file path

Nothing else complicated

Hi developers.

This is the dev team of Coren.

In our team, we publish our react app to cdn in order to cache the HTML and make our website faster.

This is the tool we constantly used for serverside render. It gives us flexible way to define what we need in ssr HTML.

Any feedback will make us better!

Thanks!