citus
Hasura
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citus | Hasura | |
---|---|---|
61 | 228 | |
9,801 | 30,810 | |
3.3% | 0.3% | |
9.5 | 9.8 | |
7 days ago | about 10 hours ago | |
C | TypeScript | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
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.
citus
- SPQR 1.3.0: a production-ready system for horizontal scaling of PostgreSQL
- Citus: PostgreSQL extension that transforms Postgres into a distributed database
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Figma's Databases team lived to tell the scale
I see they don't mention Citus (https://github.com/citusdata/citus), which is already a fairly mature native Postgres extension. From the details given in the article, in sounds like they just reimplemented it.
I wonder if they were unaware of it or disregarded it for a reason —I currently am in a similar situation as the one described in the blog, trying to shard a massive Postgres DB.
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PostgreSQL Is Enough
It is possible, if you pay for it. You can do Multi-AZ Clustered Instances in RDS, where you get the benefits of Multi-AZ failover with traffic sharing.
If you can run your own infra – at least on an EC2 level – you can do things like Citus [0] for Postgres, which is about as close to "just add database nodes" as you'll get.
[0]: https://www.citusdata.com/
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Vitess 18
So while searching for something like this for postgres I came across citus. Any one know how that stacks up?
https://github.com/citusdata/citus
- In-Depth Guide: Citus Technical Readme
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Revolutionizing Database Scaling with CitusDB
References: CitusDB
- Squeeze the hell out of the system you have
- Show HN: Hydra 1.0 – open-source column-oriented Postgres
- Schema-based sharding comes to PostgreSQL with Citus
Hasura
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Serious flaws in SQL – Edgar F. Codd (1990)
> 2. ORMs do not hide SQL nastiness.
This is certainly true!
I mean: ORMs are now well known to "make the easy queries slightly more easy, while making intermediate queries really hard and complex queries impossible".
I think the are of ORMs is over. It simply did not deliver.
If a book on SQL is --say-- 100 pages, a book on Hibernate is 400 pages. So much to learn just to make the easy queries slightly easier to type? Just not worth it.
I prefer jooq any day over ORMs. And dont get me started over what tools like Hasuna have to offer.
There are also some languages (forgot the names) that are SQL-done-right. Select in the back, more type safe, more logic, more in the same steps as the query gets executed. These need to be adopted by PG and MySQL and we're good to go. (IMHO)
https://www.jooq.org/
https://hasura.io/
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Ask HN: How Can I Make My Front End React to Database Changes in Real-Time?
[4] https://github.com/hasura/graphql-engine/blob/master/architecture/live-queries.md
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The Many Ways Not to Build an API
Another strategy is to model access control declaratively and enforce it in the application layer. ZenStack (built above Prisma ORM) and Hasura are good examples of this approach. The following code shows how access policies are defined with ZenStack and how a secured CRUD API can be derived automatically.
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The 2024 Web Hosting Report
Today, this ecosystem is going strong with new providers like Hasura, AppWrite and Supabase powering millions of projects. There are a few reasons people choose this style of hosting, especially if they are more comfortable with frontend development. BaaS lets them set up a database in a secure way, expose some business logic on top of the data, and connect via a dev-friendly SDK from their app or website code to save data easily. These modern tools build a blend of managed database with curated plugins such as authentication, great admin dashboards, and function as a service type capability - all in one package, and often offered as a integrated hosted service.
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Ask HN: Is There a Zapier for APIs?
Hi! If you’ve ever thought about something like using GraphQL for something like this.. You might like Hasura. (Obligatory I work for Hasura)
We’ve got an OpenAPI import and you can setup cron-jobs or one-off jobs and do things like load in headers from the environment variables to pass through. There isn’t currently an easy journey for chaining multiple calls together without writing any code at all, but you can wrap pretty much any API endpoint via OpenAPI import or a custom action, and you can even make minor edits to things like the API contract format to change aliases/naming.
Our goal is to join all the things, databases and API’s. Most people know us for instant GraphQL API’s that give you CRUD on your database, but we also wrap APIs.
Not sure if something like this would fit your use-case and do check out some of the other things mentioned, but depending what you are trying to do I think Hasura might potentially work.
You can find out more here: https://hasura.io
- Ask HN: What is the easiest way to create a CRUD web app in 2024?
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2024 Web Development Wish List
Nested Mutation - 113 thumbs up, and still open since 2019... another case of not listening to the users?
- Hasura V3 Engine is in alpha
- Hasura: Instant GraphQL on your Postgres data
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Hasura and Keycloak integration with NestJS server
Hasura is an open-source real-time GraphQL API server with a strong authorization layer on your database. You can subscribe to database events via webhooks. It can combine multiple API servers into one unified graphQL API. Hasura is a great tool to build any CRUD GraphQL API. Hasura does not have any authentication mechanisms; e.g., you need an auth server to handle sign-up and sign-in.
What are some alternatives?
Greenplum - Greenplum Database - Massively Parallel PostgreSQL for Analytics. An open-source massively parallel data platform for analytics, machine learning and AI.
supabase - The open source Firebase alternative.
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
postgrest - REST API for any Postgres database
vitess - Vitess is a database clustering system for horizontal scaling of MySQL.
Kong - 🦍 The Cloud-Native API Gateway and AI Gateway.
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
crystal - 🔮 Graphile's Crystal Monorepo; home to Grafast, PostGraphile, pg-introspection, pg-sql2 and much more!
dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
KrakenD - Ultra performant API Gateway with middlewares. A project hosted at The Linux Foundation
stolon - PostgreSQL cloud native High Availability and more.
Neo4j - Graphs for Everyone