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risingwavelabs
risingwave
Rust2022–2025
risingwavelabs / risingwave

risingwave

Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.

11Distinct people
14Mentions
0Explicit recommenders
9.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year14 dated mentions

Observed mentions: 2022-04-08 16:59:43 UTC to 2025-07-15 09:16:21 UTC.

0123452022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 5 mentions; 3 submissions, 2 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 4 mentions; 2 submissions, 2 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 3 mentions; 2 submissions, 1 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC532
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC422
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC211
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC321

What Hacker News says

14 sources
Proud to see my name (https://twitter.com/YingjunWu) mentioned in Andy's blog. I was Andy's visiting PhD at CMU and was the top 1 contributor to Peloton (https://github.com/cmu-db/peloton). Today, building a database from scratch is extremely difficult, for several reasons: 1. it anyways takes a long time; 2. there are so many successful (open-source) databases; 3. hiring top engineers are so expensive. 4. you won't get enough attention unless your system is drastically better than existing ones. An interesting observation is that very few database was built since 2020 - almost all the newly built databases were developed on top of existing databases (PostgreSQL, ClickHouse, etc). I started building RisingWave (https://github.com/risingwavelabs/risingwave) in early 2021. The only reason we built the system from scratch was that none of th
Read the rest
e existing systems can address the problem we are solving - distributed SQL stream processing at cloud scale. We tried Flink but gave up, as it's too heavy and it's architecture was not designed for the cloud environment. If you want to build a database from scratch, or are simply interested in databases, we may talk.
In Building a new database management system in academia (2017)
I'm very interested in such products. It appears to be similar to Materialize DB. I use dbt and Postgres for managing a data warehouse. It appears Risingwave doesn't have support for dbt yet, there is an open issue [1]. Materialize supports dbt. Materialize also offers Postgres wire compatibility i.e. I can connect to the Materialize using Postgres drivers. I wasn't able to find this information on Risingwave yet. [1] https://github.com/risingwavelabs/risingwave/issues/7577
In Modern alternative to Apache Flink: stream processing with PostgreSQL experience
We have just open sourced RisingWave, a cloud-native streaming database that uses SQL as the interface language. RisingWave is designed to reduce the complexity and cost of building real-time applications. It consumes streaming data, performs continuous queries, and updates results dynamically. As a database system, RisingWave maintains results inside its own storage and allows users to access data efficiently. You can check out the source code at GitHub (https://github.com/singularity-data/risingwave)
In RisingWave Is Open Source

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