orioledb
PostgreSQL
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orioledb | PostgreSQL | |
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25 | 405 | |
2,631 | 14,734 | |
3.6% | 3.8% | |
9.3 | 10.0 | |
14 days ago | about 18 hours ago | |
C | C | |
GNU General Public License v3.0 or later | 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.
orioledb
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Supabase Acquires OrioleDB
hey hn, supabase ceo here
we've been fans of Oriole for a while now and have been long-time supporters
in case you're jumping straight to the comments: OrioleDB is a table storage extension for Postgres. it acts as a drop-in replacement for the default postgres storage engine using the Table Access Method APIs (pluggable storage). the storage engine changes the representation of table data on disk. its architecture is designed to take advantage of modern hardware like SSDs and NVRAM. it implements MVCC, the feature that allows allows multiple connected users to see different versions of the data depending on when their transaction started, via an UNDO log rather than tuple versioning.
one caveat: it requires several patches to the postgres core to expand on the type of features external storage engines extensions can implement. for this reason it could be a while before you see this land as a default engine on supabase. we will probably make it available as an option for customers who want to experiment - no timeline is decided yet.
finally, we have been working with the team on decoupled storage and compute [0]. this is experimental but promising, especially with some recent advances in S3 (specifically Express One Zone [1]). we have a demonstration in the blog post.
i'll message Alexander in case there are any technical questions
[0] https://github.com/orioledb/orioledb/blob/main/doc/usage.md#...
[1] https://aws.amazon.com/s3/storage-classes/express-one-zone/
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Jepsen: MySQL 8.0.34
When I saw "cloud native" I was expecting S3-ish the way Neon does it but they say it's experimental: https://github.com/orioledb/orioledb/blob/beta4/doc/usage.md... and for them to say "beta, don't use in production" and then a separate "experimental" label must make it really bad
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When Did Postgres Become Cool?
There are some interesting things in development to potentially solve that problem.
Here's a recent HN submission about OrioleDB of the more promising ones: https://news.ycombinator.com/item?id=36740921
Source code: https://github.com/orioledb/orioledb
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PostgreSQL: No More Vacuum, No More Bloat
https://github.com/orioledb/orioledb/blob/main/doc/arch.md
> - PostgreSQL is very conservative (maybe extremely) conservative about data safety (mostly achieved via fsync-ing at the right times), and that propagates through the IO stack, including SSD firmware, to cause slowdowns
This is why our first goal is to become pure extension. Becoming part of PostgreSQL would require test of time.
> - MVCC is very nice for concurrent access - the Oriole doc doesn't say with what concurrency are the graphs achieved
Good catch. I've added information about VM type and concurrency to the blog post.
> - The title of the Oriole doc and its intro text center about solving VACUUM, which is of course a good goal, but I don't think they show that the "square wave" graphs they achieve for PostgreSQL are really in majority caused by VACUUM. Other benchmarks, like Percona's (https://www.percona.com/blog/evaluating-checkpointing-in-pos...) don't yield this very distinctive square wave pattern.
Yes, it's true. The square patters is because of checkpointing. The reason of improvements here is actually not VACUUM, but modification of relevant indexes only (and row-level WAL, which decreases overall IO).
- OrioleDB Reached Beta
- OrioleDB – building a modern cloud-native storage engine for Postgres
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The Part of PostgreSQL We Hate the Most (Multi-Version Concurrency Control)
I took a look at https://github.com/orioledb/orioledb which is a project attempting to remedy some of Postgres' shortcomings, including MVCC. It looks like they're doing something similar to MySQL with a redo log, as well as some other optimizations. So maybe this is the answer.
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Production grade databases in Rust
You don’t need a database written (or rewritten in Rust). we’re working to make Postgres scalable for the next decade too https://github.com/orioledb/orioledb
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Features I'd Like in PostgreSQL
> I’d love to see B-Tree primary storage option. Aka store the row data inside the primary index.
It is coming: https://github.com/orioledb/orioledb
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Supabase-JS v2
sorry to underwhelm!
if you like Neon, then I imagine you like their database branching model? On Friday we announced[0] our 500K investment into OrioleDB, who are working on branching[1], with the plan to upstream these changes into Postgres core.
It would be possible for us to run a fork of Postgres today which supports branching, but our long-term view is that developers would prefer a non-forked version of Postgre (to mitigate any risk of lock-in). So we will work on adding branching to Postgres core in the background, which will be a benefit to the entire Postgres ecosystem.
[0] Announcement:https://supabase.com/blog/supabase-series-b#where-were-going
[1] https://github.com/orioledb/orioledb/wiki/Database-branching
PostgreSQL
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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).
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How to dump and restore a Postgres DB with new table ownership
I've used MySQL for years. But recently, I found myself working PostgreSQL and simple things like dumping and restoring a database are different enough that I decided to document the process. It's straightforward enough once I knew how.
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Test Driving a Rails API - Part One
A running Rails application needs a database to connect to. You may already have your database of choice installed, but if not, I recommend PostgreSQL, or Postgres for short. On a Mac, probably the easiest way to install it is with Posrgres.app. Another option, the one I prefer, is to use Homebrew. With Homebrew installed, this command will install PostgreSQL version 16 along with libpq:
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Um júnior e um teste técnico: The battle.
PostgreSQL
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How to choose the right type of database
PostgreSQL: Offers a robust feature set and strong compliance with SQL standards, making it suitable for a wide range of applications, from simple to complex, particularly where data integrity and extensibility are key.
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NoSQL Postgres: Add MongoDB compatibility to your Supabase projects with FerretDB
FerretDB is an open source document database that adds MongoDB compatibility to other database backends, such as Postgres and SQLite. By using FerretDB, developers can access familiar MongoDB features and tools using the same syntax and commands for many of their use cases.
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Preventing SQL injection attacks in Node.js
To better understand how SQL injection works, let's quickly create a vulnerable app using Node.js, Express, and a PostgreSQL database. The application takes user input from a form, constructs a SQL query, and executes it against the database to fetch some data.
What are some alternatives?
neon - Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, branching, and bottomless storage.
psycopg2 - PostgreSQL database adapter for the Python programming language
tsbs - Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
ClickHouse - ClickHouse® is a free analytics DBMS for big data
timescale-analytics - Extension for more hyperfunctions, fully compatible with TimescaleDB and PostgreSQL 📈
phpMyAdmin - A web interface for MySQL and MariaDB
postgres - PostgreSQL with extensibility and performance patches
Firebird - FB/Java plugin for Firebird
plv8 - V8 Engine Javascript Procedural Language add-on for PostgreSQL
Adminer - Database management in a single PHP file
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
SQLAlchemy - The Database Toolkit for Python