bayard
PostgreSQL
bayard | PostgreSQL | |
---|---|---|
4 | 411 | |
1,839 | 14,788 | |
0.0% | 2.3% | |
0.0 | 10.0 | |
about 1 year ago | 3 days ago | |
Rust | C | |
MIT License | GNU General Public License v3.0 or later |
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.
bayard
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An alternative to Elasticsearch that runs on a few MBs of RAM
Somewhat related, this guy: https://github.com/mosuka/ seems to be very passionate about search service.
He built two distributed search services:
- https://github.com/mosuka/phalanx, written in Go.
- https://github.com/mosuka/bayard, written in Rust.
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Postgres Full Text Search vs. the Rest
I wish we had an extension like ZomboDB but using a lighter search engine like https://github.com/quickwit-oss/quickwit, https://github.com/toshi-search/Toshi and https://github.com/mosuka/bayard
Here I'm listing engines based on https://github.com/quickwit-oss/tantivy - tantivy is comparable to Lucene in its scope - but I'm sure there are other engines that could tackle ElasticSearch.
Another thing that could happen is maybe directly embed tantivy in Postgres using an extension, perhaps this could be an option too.
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Meilisearch, the Rust search engine, just raised $5M
So there's more than one? The one I knew was https://github.com/quickwit-oss/tantivy and https://github.com/quickwit-oss/quickwit on top of it (there's a couple of other search engines built on top of tantivy, like https://github.com/bayard-search/bayard)
PostgreSQL
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Essential Tools & Technologies for New Developers
Every time I buy a new computer, the first thing I install is the servers for MySql and Postgres, the two most common databases. This way, I can start the databases with a simple command like this:
- OpenBSD 7.3 を 7.4 へ アップグレード
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What do you want to watch next? This is why I built GoodWatch.
Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance
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System Design: Databases and DBMS
PostgreSQL
- Presentación del Operador LMS Moodle
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Introducing LMS Moodle Operator
The LMS Moodle Operator serves as a meta-operator, orchestrating the deployment and management of Moodle instances in Kubernetes. It handles the entire stack required to run Moodle, including components like Postgres, Keydb, NFS-Ganesha, and Moodle itself. Each of these components has its own Kubernetes Operator, ensuring seamless integration and management.
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Integrate txtai with Postgres
Another key feature of txtai is being able to quickly move from prototyping to production. This article will demonstrate how txtai can integrate with Postgres, a powerful, production-ready and open source object-relational database system. After txtai persists content to Postgres, we'll show it can be directly queried with SQL from any Postgres client
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Understanding SQL vs. NoSQL Databases: A Beginner's Guide
SQL (Structured Query Language) databases are relational databases. They organize data into tables with rows and columns, and they use SQL for querying and managing data. Examples include MySQL, PostgreSQL, and SQLite.
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From zero to hero: using SQL databases in Node.js made easy
Node.js, MySQL and PostgreSQL servers installed on your machine
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I Deployed My Own Cute Lil’ Private Internet (a.k.a. VPC)
Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).
What are some alternatives?
quickwit - Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.
psycopg2 - PostgreSQL database adapter for the Python programming language
tantivy - Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
ClickHouse - ClickHouse® is a free analytics DBMS for big data
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
phpMyAdmin - A web interface for MySQL and MariaDB
zincsearch - ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
Firebird - FB/Java plugin for Firebird
quickwit - Quickwit is a fast and cost-efficient distributed search engine for large-scale, immutable data. [Moved to: https://github.com/quickwit-oss/quickwit]
Adminer - Database management in a single PHP file
lyra - 🌌 Fast, in-memory, typo-tolerant, full-text search engine written in TypeScript. [Moved to: https://github.com/LyraSearch/lyra]
SQLAlchemy - The Database Toolkit for Python