graphql-bench VS risingwave

(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

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!

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?

How does this compare to RisingWave and Materialize?

https://github.com/risingwavelabs/risingwave

Hey everyone - One and a half year ago, we open sourced RisingWave, a Rust-built streaming database, under Apache 2.0 license. Two weeks ago, we released RisingWave 1.3. Just last week, we unveiled RisingWave's roadmap.

Look out for next month’s edition to see what new, exciting features will be added. Check out the RisingWave GitHub repository to stay up to date on the newest features and planned releases.

If interested, please feel free to join our Slack community! Thanks eveyone for your generous support!

We will spin up on our local environment the existing RisingWave fully-featured demo cluster on GitHub which is composed of multiple RisingWave components. To simplify this task, it leverages docker-compose.yaml file which includes additional containers for Kafka message broker, and data generation service.

To complete the steps in this guide, you must download/clone and work on an existing sample project on GitHub. The project uses Docker for convenience and consistency. It provides a containerized development environment that includes the services you need to build the sample data pipeline.

Hey have you looked at RisingWave (https://github.com/risingwavelabs/risingwave) before? It's a stream processing system with PostgreSQL interface. It also have integrations similar to Flink CDC.