materialize
axios
materialize | axios | |
---|---|---|
117 | 442 | |
5,580 | 104,075 | |
0.7% | 0.3% | |
10.0 | 8.4 | |
5 days ago | 2 days ago | |
Rust | JavaScript | |
GNU General Public License v3.0 or later | 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.
materialize
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Ask HN: How Can I Make My Front End React to Database Changes in Real-Time?
[2] https://materialize.com/
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
To fully leverage the data is the new oil concept, companies require a special database designed to manage vast amounts of data instantly. This need has led to different database forms, including NoSQL databases, vector databases, time-series databases, graph databases, in-memory databases, and in-memory data grids. Recent years have seen the rise of cloud-based streaming databases such as RisingWave, Materialize, DeltaStream, and TimePlus. While they each have distinct commercial and technical approaches, their overarching goal remains consistent: to offer users cloud-based streaming database services.
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Proton, a fast and lightweight alternative to Apache Flink
> Materialize no longer provide the latest code as an open-source software that you can download and try. It turned from a single binary design to cloud-only micro-service
Materialize CTO here. Just wanted to clarify that Materialize has always been source available, not OSS. Since our initial release in 2020, we've been licensed under the Business Source License (BSL), like MariaDB and CockroachDB. Under the BSL, each release does eventually transition to Apache 2.0, four years after its initial release.
Our core codebase is absolutely still publicly available on GitHub [0], and our developer guide for building and running Materialize on your own machine is still public [1].
It is true that we substantially rearchitected Materialize in 2022 to be more "cloud-native". Our new cloud offering offers horizontal scalability and fault tolerance—our two most requested features in the single-binary days. I wouldn't call the new architecture a microservices design though! There are only 2-3 services, each quite substantial, in the new architecture (loosely: a compute service, an orchestration service, and, soon, a load balancing service).
We do push folks to sign up for a free trial of our hosted cloud offering [2] these days, rather than trying to start off by running things locally, as we generally want folks' first impression of Materialize to be of the version that we support for production use cases. A all-in-one single machine Docker image does still exist, if you know where to look, but it's very much use-at-your-own-risk, and we don't recommend using it for anything serious, but it's there to support e.g. academic work that wants to evaluate Materialize's capabilities to incrementally maintain recursive SQL queries.
If folks have questions about Materialize, we've got a lively community Slack [3] where you can connect directly with our product and engineering teams.
[0]: https://github.com/MaterializeInc/materialize/tree/main
- What I Talk About When I Talk About Query Optimizer (Part 1): IR Design
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We Built a Streaming SQL Engine
Some recent solutions to this problem include Differential Dataflow and Materialize. It would be neat if postgres adopted something similar for live-updating materialized views.
https://github.com/timelydataflow/differential-dataflow
https://materialize.com/
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Ask HN: Who is hiring? (October 2023)
Materialize | Full-Time | NYC Office or Remote | https://materialize.com
Materialize is an Operational Data Warehouse: A cloud data warehouse with streaming internals, built for work that needs action on what’s happening right now. Keep the familiar SQL, keep the proven architecture of cloud warehouses but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date.
Materialize is the operational data warehouse built from the ground up to meet the needs of modern data products: Fresh, Correct, Scalable — all in a familiar SQL UI.
Senior/Staff Product Manager - https://grnh.se/69754ebf4us
Senior Frontend Engineer - https://grnh.se/7010bdb64us
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Investors include Redpoint, Lightspeed and Kleiner Perkins.
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Ask HN: Who is hiring? (June 2023)
Materialize | EM (Compute), Senior PM | New York, New York | https://materialize.com/
You shouldn't have to throw away the database to build with fast-changing data. Keep the familiar SQL, keep the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date.
That is Materialize, the only true SQL streaming database built from the ground up to meet the needs of modern data products: Fresh, Correct, Scalable — all in a familiar SQL UI.
Engineering Manager, Compute - https://grnh.se/4e14099f4us
Senior Product Manager - https://grnh.se/587c36804us
VP of Marketing - https://grnh.se/9caac4b04us
- What are your favorite tools or components in the Kafka ecosystem?
- Ask HN: Who is hiring? (May 2023)
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Dozer: A scalable Real-Time Data APIs backend written in Rust
How does it compare to https://materialize.com/ ?
axios
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How to Build Progressive Web Apps in 2024? A Step-byStep Guide
If your PWA requires displaying dynamic data, consider utilizing React libraries like axios or the built-in fetch API to retrieve data from APIs or servers.
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Mastering The Heap: How to Capture and Store Images from Fetch Responses
axios
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React Magic: How to Create a Custom Hook for Seamless Data Retrieval.
Also, copy this code to add axios
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API Handling: Utilizing the Facade Pattern with Axios in Frontend Development
Typically, there are various ways to choose an HTTP client, and for this example, I've chosen axios.
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How to Build an AI FAQ System with Strapi, LangChain & OpenAI
axios: To fetch data from the Strapi CMS API and also to fetch responses from our Express server.
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ManyShiba - The World's Greatest Twitter Bot
Note, you can use any library for HTTP requests like axios. This example uses the http and node-fetch libraries available on npm.
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The Developer's Guide to OWASP API Security
Interact with other APIs over an encrypted channel. For example, you can use Axios with Node.js.
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Automating Data Collection with Apify: From Script to Deployment
For this article, I will be using the TypeScript Starter template as shown in the screenshot above. This comes with Nodejs, Cheerio, Axios
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HTTP Requests in JavaScript: Popular Libraries for Web Developers
Axios is suitable for a wide range of web development projects, from simple single-page applications (SPAs) to complex, large-scale enterprise software.
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Leveraging WordPress as a Headless CMS for Your Astro Website: A Comprehensive Guide
Axios for streamlined API interactions, facilitating seamless data fetching.
What are some alternatives?
ClickHouse - ClickHouse® is a free analytics DBMS for big data
got - 🌐 Human-friendly and powerful HTTP request library for Node.js
risingwave - SQL stream processing, analytics, and management. PostgreSQL simplicity, unrivaled performance, and seamless elasticity. 🚀 10x more productive. 🚀 10x more cost-efficient.
request - 🏊🏾 Simplified HTTP request client.
openpilot - openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.
ky - 🌳 Tiny & elegant JavaScript HTTP client based on the browser Fetch API
rust-kafka-101 - Getting started with Rust and Kafka
node-fetch - A light-weight module that brings the Fetch API to Node.js
dbt-expectations - Port(ish) of Great Expectations to dbt test macros
superagent - Ajax for Node.js and browsers (JS HTTP client). Maintained for @forwardemail, @ladjs, @spamscanner, @breejs, @cabinjs, and @lassjs.
scryer-prolog - A modern Prolog implementation written mostly in Rust.
SWR - React Hooks for Data Fetching