Druid VS femtovg

Apache Druid: Focused on real-time analytics and interactive queries on large datasets. Druid is well-suited for high-performance applications in user-facing analytics, network monitoring, and business intelligence.

Online analytical processing (OLAP) databases like Apache Druid, Apache Pinot, and ClickHouse shine in addressing user-initiated analytical queries. You might write a query to analyze historical data to find the most-clicked products over the past month efficiently using OLAP databases. When contrasting with streaming databases, they may not be optimized for incremental computation, leading to challenges in maintaining the freshness of results. The query in the streaming database focuses on recent data, making it suitable for continuous monitoring. Using streaming databases, you can run queries like finding the top 10 sold products where the “top 10 product list” might change in real-time.

https://github.com/apache/druid

It's always a question of tradeoffs.

The awesome-selfhosted project has a nice list of open-source analytics projects. It's really good inspiration to dig into these projects and find out about the technology choices that other open-source tools in the space have made.

Spencer Kimball (now CEO at CockroachDB) wrote an interesting article on this topic in 2021 where they created spencerkimball/stargazers based on a Python script. So I started thinking: could I create a data pipeline using Nifi and Kafka (two OSS tools often used with Druid) to get the API data into Druid - and then use SQL to do the analytics? The answer was yes! And I have documented the outcome below. Here’s my analytical pipeline for Github stars data using Nifi, Kafka and Druid.

Apache Druid is part of the modern data architecture. It uses a special data format designed for analytical workloads, using extreme parallelisation to get data in and get data out. A shared-nothing, microservices architecture helps you to build highly-available, extreme scale analytics features into your applications.

Apache Druid

But then you realize there are other databases out there focused specifically on analytical use cases with lots of data and complex queries. Newcomers like ClickHouse, Pinot, and Druid (all open source) respond to a new class of problem: The need to develop applications using endpoints published on analytical queries that were previously confined only to the data warehouse and BI tools.

Datadog's product is a bit too close to Apache Druid to have named their design system so similarly.

From https://druid.apache.org/ :

> Druid unlocks new types of queries and workflows for clickstream, APM, supply chain, network telemetry, digital marketing, risk/fraud, and many other types of data. Druid is purpose built for rapid, ad-hoc queries on both real-time and historical data.

Maybe rare for someone to be seeking their first coding job at that age. But plenty of us are in our 50s or older and still coding up a storm. And not necessarily ancient tech or anything. My current project exposes analytics data from Apache Druid and Cassandra via Go microservices hosted in K8s.

Fortunately, it is super easy to build your own leveraging the binary distribution and existing docker.sh.

Femtovg (https://github.com/femtovg/femtovg) which uses OpenGL to render

Congrats! I don't want to diminish the accomplishment, but have you seen femtovg? It seems like it's probably well-aligned with your needs.

I'm currently using femtovg for vector graphics in my games, and I would like to get into bevy by porting one of my game prototypes using it to bevy.

I use femtovg It's a simple vector graphics engine having all the important features you probably want from a 2D rendering engine: simple shapes, images, text

https://github.com/femtovg/femtovg/pull/5

Before Power10 was done, IBM actually asked us Raptor users about proposals for useful machine code instructions to add to it. I replied that I’d like to have hardware UTF-8 de-/encoding but they wanted a more detailed proposal and I never got around to write it. I’m not even sure that this would be worthwhile, but I see UTF-8 de-/encoding everywhere in the code I write and would like it to approach memory read/write speeds.

I was very disappointed to learn that they had gone more proprietary with Power10 so I would not have been able to use those instructions anyway. What a pity!

In my actual code, I'm using a library called femtovg that is a Rust port of a C library for 2D rendering. But In the blog post I kept the example simple to keep it relevant for people who might want to use Web Workers + WASM for other things; didn't want to get hung up on femtovg for someone who had never heard of it. As you say, if you all you need to do is basic 2D manipulations of a canvas that are supported by the native API, then you likely don't need WASM.

You guys should also check out the femtovg project, a 2D rendering API that sixty fps relies on.

https://github.com/femtovg/femtovg

It's a decent starting point for trying to build your own toolkit.

I have recently added a wgpu backend but for now it lives in my fork https://github.com/adamnemecek/femtovg

run the demo with `cargo run --example wgpu_demo --release`.

Also join the femtovg discord https://discord.gg/V69VdVu

I'm involved with the femtovg project. We are definitely looking for contributors. Join the discord channel.

It's not a GUI framework but I'm involved with this project called femtovg, it's a Rust nanovg port. I've recently added a wgpu backend. Run the demo with cargo run --example wgpu_demo --release. Some people have been using it for their own UIs, e.g. tuix. I think that you should consider rolling your own GUI toolkit, it's not that bad and you'll appreciate the control.