postgresql-contrib
risingwave
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postgresql-contrib | risingwave | |
---|---|---|
3 | 27 | |
13 | 6,309 | |
- | 5.4% | |
10.0 | 10.0 | |
almost 6 years ago | 1 day ago | |
PLpgSQL | Rust | |
- | 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.
postgresql-contrib
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PostgreSQL 16 Beta 1
You can use https://github.com/twosigma/postgresql-contrib/blob/master/m... and write triggers to update your views or mark them as needing asynchronous refreshes. It's not as automatic as what you'd like, but it's a lot better than having to keep waiting.
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The Next Generation of Materialize
I use PG with an alternative materialized views implementation[0] that is pure PlPgSQL and that exposes real tables that can be used to write to in triggers, and where the views can be marked stale too.
This means hand-coding triggers to keep the materializations up to date, or else to mark them as out of date (because maybe some operations would be slow or hard to hand-code triggers for), but this works remarkably well.
As a bonus, I get an update history table that can be used to generate updates to external systems.
In principle one can get the AST for a VIEW's query from the PG catalog and use that generate triggers on the tables it queries to keep it up to date. In practice that's only trivial for some kinds of queries, and I've not written such a tool yet.
[0] https://github.com/twosigma/postgresql-contrib/blob/master/m...
risingwave
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Proton, a fast and lightweight alternative to Apache Flink
How does this compare to RisingWave and Materialize?
https://github.com/risingwavelabs/risingwave
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RisingWave's Roadmap - Redefining Stream Processing with the Rust-Built Streaming Database
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.
- Risingwave: Redefining Stream Processing
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Highlights of RisingWave v1.3: The Open-Source Streaming Database
Look out for next monthβs 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.
- Optimizing Rust Code for the Lsm-Tree Iterator in RisingWave
- Hummock: A Storage Engine Designed for Stream Processing
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RisingWave 1.2 released - the open-source streaming database built in Rust
If interested, please feel free to join our Slack community! Thanks eveyone for your generous support!
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Query materialized views with Java, Spring, and streaming database
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.
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Real-time Data Processing Pipeline With MongoDB, Kafka, Debezium And RisingWave
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.
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Flink CDC / alternatives
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.
What are some alternatives?
pg_ivm - IVM (Incremental View Maintenance) implementation as a PostgreSQL extension
materialize - The data warehouse for operational workloads.
ksql - The database purpose-built for stream processing applications.
datafuse - An elastic and reliable Cloud Warehouse, offers Blazing Fast Query and combines Elasticity, Simplicity, Low cost of the Cloud, built to make the Data Cloud easy [Moved to: https://github.com/datafuselabs/databend]
mssql-changefeed
greptimedb - An open-source, cloud-native, distributed time-series database with PromQL/SQL/Python supported. Available on GreptimeCloud.
chdb - chDB is an embedded OLAP SQL Engine π powered by ClickHouse
roapi - Create full-fledged APIs for slowly moving datasets without writing a single line of code.
arroyo - Distributed stream processing engine in Rust
incubator-horaedb - HoraeDB is a high-performance, distributed, cloud native time-series database.