rust-pg_bigdecimal
risingwave
| rust-pg_bigdecimal | risingwave | |
|---|---|---|
| 1 | 27 | |
| 5 | 6,309 | |
| - | 2.2% | |
| 0.0 | 10.0 | |
| about 1 year ago | 7 days ago | |
| Rust | Rust | |
| MIT License | 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.
rust-pg_bigdecimal
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 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.
- 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?
sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.
materialize - The data warehouse for operational workloads.
rbatis - Rust Compile Time ORM robustness,async, pure Rust Dynamic SQL
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]
ksql - The database purpose-built for stream processing applications.
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 🚀 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.
falcor - A JavaScript library for efficient data fetching
debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.