graphql-bench
materialize
graphql-bench | materialize | |
---|---|---|
3 | 117 | |
259 | 5,580 | |
1.2% | 0.7% | |
4.0 | 10.0 | |
3 months ago | 7 days ago | |
TSQL | Rust | |
Apache License 2.0 | 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.
graphql-bench
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Pg_jsonschema – JSON Schema Support for Postgres
(from Hasura)
Scaling subscriptions is hard, but we work with our users/customers at scale to make sure settings are tweaked correctly.
We have users running 100k - 1M concurrent users in production for live-event type platforms. It's not completely trivial to benchmark and setup because query patterns, streaming vs live queries etc have an impact, but it works very reliably. No missing events, no problems disconnecting/reconnecting, no need for sticky sessions and so on.
An initial POC benchmark [1] should be a quick affair so if you're trying it out and run into any problems, please hit me up! Email on my bio.
[1]: https://github.com/hasura/graphql-bench
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Streaming data in Postgres to 1M clients with GraphQL
Has anyone come across neat tools for load-testing streaming APIs?
We used https://github.com/hasura/graphql-bench and a set of scripts to monitor runtime characteristics of Hasura and Postgres, and reconciliation to make sure data was received as expected and in-order.
But would love to see if there's other tools that folks have come across!
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Show HN: Vizzu – Open-source charting library focused on animating charts
Just went through the examples -- I thought it was really neat!
Often times I want/need to display data in more than one format. Usually I just take up a bunch of page space by putting multiple charts.
Here's an example showing what I mean from actual project:
https://github.com/hasura/graphql-bench/raw/master/app/hasur...
If there was a solid and comprehensive charting library that could "tween" between the chart formats, only taking up the space of 1 chart, that would be a neat solution!
Have you found certain pairs/combinations of charts that expose hidden relationships when you display them by animating the data points between them?
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
===
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/ ?
What are some alternatives?
postgres-json-schema - JSON Schema validation for PostgreSQL
ClickHouse - ClickHouse® is a free analytics DBMS for big data
apollo-server - 🌍 Spec-compliant and production ready JavaScript GraphQL server that lets you develop in a schema-first way. Built for Express, Connect, Hapi, Koa, and more.
risingwave - SQL stream processing, analytics, and management. PostgreSQL simplicity, unrivaled performance, and seamless elasticity. 🚀 10x more productive. 🚀 10x more cost-efficient.
SandDance - Visually explore, understand, and present your data.
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.
gemini - A grammar and recommender system for animated transitions in Vega/Vega-Lite
rust-kafka-101 - Getting started with Rust and Kafka
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
dbt-expectations - Port(ish) of Great Expectations to dbt test macros
falcor - A JavaScript library for efficient data fetching
scryer-prolog - A modern Prolog implementation written mostly in Rust.