Druid VS antd

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.

Ant Design

Official Website: https://ant.design/

Ant Design (antd) is a React component library for building beautiful and modern user interfaces. It comes with a collection of prebuilt, enterprise-level UI components. To install Ant Design, use the command below:

🔍 Site ⭐ GitHub

(I'm a frontend dev, but I came into the design side only later in my career, after having started as a full-stack programmer.)

I think this book is probably the single best resource I've seen on the topic: https://www.refactoringui.com/

It's a really easy-to-use format (one quick tip on each page, with clear examples).

It's from the people who made Tailwind, a CSS framework that's basically a reimagining of Bootcamp for the Javascript/component era.

Check out some of their templates: https://tailwindui.com/templates

These are lookalike "modern" designs that you can pay to use, or just draw inspiration from. Imitation == flattery and all that.

Along similar lines, check out the free Next.js templates: https://vercel.com/templates/next.js

If you want to build up from components instead, Tailwind offers a component library too: https://tailwindui.com/components

For React, I prefer the astoundingly good MUI framework (amazing components with lots of customizability, a good enough default look, and great documentation): https://mui.com/ If you end up going this route, using their Figma kit (https://mui.com/store/items/figma-react/) plus the Refactoring UI book from above should allow you to whip up a pretty standard-looking, "pretty enough" design in very little time. And then implementing it using the actual MUI lib would just take a few days.

There's also Ant Design: https://ant.design/

And Chakra UI: https://chakra-ui.com/

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For more theoretical stuff (i.e., less visual but still very valuable), the UX research group Nielsen Norman still has a treasure trove of valuable advice: https://www.nngroup.com/articles/top-ten-guidelines-for-home...

You should know the basics of accessibility (beyond general usability, this alos means alt text, header levels, contrast ratios, readability, screen readers, keyboard navigation, special considerations for the hard of sight and hearing, etc.): https://www.w3.org/WAI/standards-guidelines/wcag/ or at least use an easy checklist tool like Microsoft's WCAG analyzer: https://accessibilityinsights.io/

Ant Design is a fantastic toolkit for React developers. It's like having a box of building blocks that are not only stylish but also super functional. With Ant Design, you get a collection of pre-made React components that you can easily put together to create a sleek and modern look for your web projects. Whether you're a beginner or a seasoned developer, Ant Design simplifies the process of making your web applications both visually appealing and user-friendly. It's a go-to choice for those who want a seamless blend of design and functionality in their React applications.

The backend UI is a combination of React + MUI + Ant Design.

Material-UI Ant Design Chakra UI Semantic UI React

ant-design -> Less configurable. Limited but nice components.

GitHub stars: 88k GitHub link: https://github.com/ant-design/ant-design Documentation: https://ant.design/docs/react/getting-started