Druid
autocomplete
Our great sponsors
Druid | autocomplete | |
---|---|---|
24 | 164 | |
13,180 | 24,255 | |
0.6% | 1.6% | |
9.9 | 9.6 | |
5 days ago | 2 days ago | |
Java | TypeScript | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Druid
-
How to choose the right type of database
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.
-
Choosing Between a Streaming Database and a Stream Processing Framework in Python
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.
-
Show HN: The simplest tiny analytics tool – storywise
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.
-
Analysing Github Stars - Extracting and analyzing data from Github using Apache NiFi®, Apache Kafka® and Apache Druid®
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® - an enterprise architect's overview
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.
-
Real Time Data Infra Stack
Apache Druid
-
When you should use columnar databases and not Postgres, MySQL, or MongoDB
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.
-
Druids by Datadog
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.
-
Mom at 54 is thinking about coding and a complete career shift. Thoughts?
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.
-
Building an arm64 container for Apache Druid for your Apple Silicon
Fortunately, it is super easy to build your own leveraging the binary distribution and existing docker.sh.
autocomplete
-
Fig Is Sunsetting
Having contributed to the Fig autocomplete specs, I find this sad. The Amazon product Fig was built into basically works as replacement, which is good. Still, the core value of this product are the open-source autocomplete specs: https://github.com/withfig/autocomplete. What's going to happen to that? It looks like they are still using it in the Amazon product. It should definitely be possible for an open-source re-implementation of the Fig UI to use those specs. There is a lot of knowledge encoded in there!
-
Top Free Utility Mac Apps You Aren’t Using
8. Fig
-
Ask HN: Alternatives to fig.io as it has signups disabled?
Fig is awesome but with signups blocked[1] for 2+mo already it's also as good as dead ¯\_(ツ)_/¯
* [1]: https://github.com/withfig/autocomplete/issues/2068
-
Show HN: Inshellisense – IDE style shell autocomplete
https://github.com/withfig/autocomplete is it this?
- Fig
-
Show HN: Whiz – A copilot for your command line
How is this different than https://fig.io/?
-
Boost DX, Enhance UX, and Skyrocket Profits! Dive into a sub-50ms world with Edge Feature Flags 🚀
AWS CloudWatch Evidently The worst. No comment. AWS seems to perpetually lack a good DX for developers. It appears that they don't recognize or continually undervalue the importance of roles other than engineers, such as Product Managers or Designers. Very disappointing. However, AWS has recently acquired Fig, so looks like they're now pursuing an acquisition strategy instead. Let's see how it turns it out, and let's hope they don't ruin Fig, since it's such an useful tool.
-
Ask HN: What are some well-designed websites?
slightly tangential, but where do people get awesome landing pages like linear(https://fig.io/. has similar landing page) etc. Do they build them in-house or buy templates somewhere? Many of the recently launched YC companies have awesome landing pages. eg. https://automorphic.ai/,
-
Fig Has Joined AWS
I love this product, have contributed several times to it, and I'm a little torn. One thing I am thinking about now, is that the completion specs are MIT-licensed, and it should be possible to use them to re-implement a basic open-source version of the autocompletion product... https://github.com/withfig/autocomplete
What are some alternatives?
iced - A cross-platform GUI library for Rust, inspired by Elm
ohmyzsh - 🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications
fzf-tab - Replace zsh's default completion selection menu with fzf!
Apache Cassandra - Mirror of Apache Cassandra
Warp - Warp is a modern, Rust-based terminal with AI built in so you and your team can build great software, faster.
Apache HBase - Apache HBase
starship - ☄🌌️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!
egui - egui: an easy-to-use immediate mode GUI in Rust that runs on both web and native
hyperterm - A terminal built on web technologies
Scylla - NoSQL data store using the seastar framework, compatible with Apache Cassandra
zsh-autocomplete - 🤖 Real-time type-ahead completion for Zsh. Asynchronous find-as-you-type autocompletion.