postgrest
TimescaleDB
postgrest | TimescaleDB | |
---|---|---|
112 | 99 | |
24,533 | 18,325 | |
1.6% | 1.1% | |
9.5 | 9.8 | |
5 days ago | 1 day ago | |
Haskell | 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.
postgrest
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Generate an OpenAPI From Your Database
This is especially helpful because Supabase uses PostegREST under the hood, which does not support OpenAPI 3.x. Note that some Postgres specific features like enums are not converted to JSON Schema enums as Sequelize doesn't expose that information.
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Automatically Generate REST and GraphQL APIs From Your Database
PostgREST stands out as the leading solution for PostgreSQL databases. It turns your database directly into a RESTful API with minimal configuration. The tool automatically creates endpoints for tables and views, supports complex filters, and leverages PostgreSQL's row-level security for fine-grained access control. If you'd like to see this in action, check out our Neon PostgresQL sample.
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Top FP technologies
PostgREST
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What I Learned from Making the Python Back End for My New Webapp
> I don't really see how the validation schema and ORM model would ever really diverge...
If that were the case, then using a PostgreSQL API[0] that maps tables to APIs would be all that's required.
However, the real world is messy. Requirements change, which could lead the project becoming a reimplementation of full framework such as Django.
Django also comes with generic REST endpoints based on models thus giving you the magic, but still allows for all the different use cases and customizations that might present themselves during the full lifecycle of a project.
[0]https://github.com/PostgREST/postgrest
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PostgREST 12.2: Prometheus metrics
PostgREST 12.2 is out! It comes with Observability and API improvements. In this post, we'll see what's new.
- PostgREST – Serve a RESTful API from Any Postgre Database
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Supabase RLS Alternative
Supabase provides a RESTful API using PostgREST. However, without RLS, you will expose your database to the frontend. With the RLS policies created above, it’s safe to expose the API to the public because each user can only access the data allowed by the policy. For example, if you try to get all the List items using the API below, you will only receive the ones you are allowed to read by the read policy:
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Advanced URL rewriting with Apache APISIX
I spoke at Swiss PgDay in Switzerland in late June. The talk was about how to create a no-code API with the famous PostgreSQL database, the related PostgREST, and Apache APISIX, of course. I already wrote about the idea in a previous post. However, I wanted to improve it, if only slightly.
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Supabase versus Magic - You win!
Supabase was started as a thin deployment layer on top of PostgreSQL and PostgREST, which implies that understanding Supabase requires understanding PostgREST and PostgreSQL.
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The API database architecture – Stop writing HTTP-GET endpoints
Yes, sorry about that. We're looking at it on https://github.com/PostgREST/postgrest/issues/3503.
TimescaleDB
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⚙️ Building a better Ruby ORM for time series and analytics
This is where TimescaleDB comes in. Built on PostgreSQL (it’s an extension), TimescaleDB is purpose-built for time series and other demanding workloads, and thanks to the timescaledb gem, it integrates seamlessly into Rails. You don’t have to leave behind the conventions or patterns you love, it just works alongside them.
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TimescaleDB in 2024: Making Postgres Faster
For those of you who don’t know, TimescaleDB is a PostgreSQL extension for high-performance real-time analytics on time series and event data. It is available as an open-source extension or fully managed on Timescale Cloud.
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The Best Time-Series Databases Compared
If you are interested in Timescale, you can try Timescale for free or check out our GitHub, community Slackand join discussions with thousands of Timescale users.
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Generative AI: A Personal Deep Dive – My Notes and Insights Part-2
After diving into the world of Large Language Models (LLMs) and getting comfortable with their capabilities, I decided to take the next step and work on some projects. I started looking for interesting project ideas, and that’s when I discovered an exciting opportunity: a hackathon organized by TimeScale, featuring an Open Source AI Challenge in collaboration with pgai and Ollama on dev.to
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13 Tips to Improve PostgreSQL Insert Performance
View on GitHub
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PostgreSQL Performance Tuning: The Power of work_mem
Unfortunately, there’s no magic formula for setting work_mem. It depends on your system’s available memory, workload, and query patterns. The TimescaleDB Team has a tool to autotune and the topic is widely discussed. Here are some excellent resources to guide you:
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Postgres can do that? No surprise Postgres is everywhere
Timescale is an extension for PostgreSQL that transforms it into an efficient time series database. It optimizes time series data processing using features like intelligent chunking, hypertables, and IMMV with aggregates. Hypertables automatically partition the data by time, but to the user, the table still appears as a regular table.
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Semantic Document Search System with pgvector and pgai
TimescaleDB (PostgreSQL) for primary database (can be configured for self hosted psql as well)
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OpenZFS deduplication is good now and you shouldn't use it
Yes, that ratio is very small.
I built a very simple, custom syslog solution, a syslog-ng server writing directly to a TimescaleDB hypertable (https://www.timescale.com/), and I am getting a 30x compression ratio.
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Join us for the Open Source AI Challenge with pgai and Ollama: $3,000 in Prizes!
We are thrilled to team up with Timescale to bring the community our newest challenge. We think you'll like this one.
What are some alternatives?
Hasura - Blazing fast, instant realtime GraphQL APIs on all your data with fine grained access control, also trigger webhooks on database events.
ClickHouse - ClickHouse® is a real-time analytics database management system
supabase - The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
GORM - The fantastic ORM library for Golang, aims to be developer friendly
swagger2 - Swagger 2.0 data model.
Telegraf - Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.
gotrue - An SWT based API for managing users and issuing SWT tokens.
citus - Distributed PostgreSQL as an extension
postgres-websockets - PostgreSQL + Websockets
TDengine - High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
Appwrite - Your backend, minus the hassle.
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.