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https://github.com/risingwavelabs/risingwave
Best-in-class stream processing, analytics, and management. Perform continuous analytics, or build event-driven applications, real-time ETL pipelines, and feature stores in minutes. Unified streaming and batch. PostgreSQL compatible.
https://github.com/risingwavelabs/risingwave
analytics big-data cloud-native data-engineering database distributed-database etl flink kafka ksqldb materialized-view postgres postgresql real-time real-time-analytics rust serverless spark-streaming sql stream-processing
Last synced: 6 days ago
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Best-in-class stream processing, analytics, and management. Perform continuous analytics, or build event-driven applications, real-time ETL pipelines, and feature stores in minutes. Unified streaming and batch. PostgreSQL compatible.
- Host: GitHub
- URL: https://github.com/risingwavelabs/risingwave
- Owner: risingwavelabs
- License: apache-2.0
- Created: 2022-01-28T12:58:03.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-10-29T09:24:23.000Z (3 months ago)
- Last Synced: 2024-10-29T09:24:51.573Z (3 months ago)
- Topics: analytics, big-data, cloud-native, data-engineering, database, distributed-database, etl, flink, kafka, ksqldb, materialized-view, postgres, postgresql, real-time, real-time-analytics, rust, serverless, spark-streaming, sql, stream-processing
- Language: Rust
- Homepage: https://go.risingwave.com/slack
- Size: 210 MB
- Stars: 6,988
- Watchers: 80
- Forks: 575
- Open Issues: 1,063
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Codeowners: CODEOWNERS
- Security: SECURITY.md
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README
### 🌊 Reimagine real-time data engineering.
📚
Documentation 🚀
Slack Community
RisingWave is a Postgres-compatible SQL database engineered to provide the simplest and most cost-efficient approach for processing, analyzing, and managing real-time event streaming data.
RisingWave can ingest millions of events per second, continuously join and analyze live data streams with historical tables, serve ad-hoc queries in real-time, and deliver fresh, consistent results wherever needed.
## Try it out in 60 seconds
Install RisingWave standalone mode:
```shell
curl -L https://risingwave.com/sh | sh
```
To learn about other installation options, such as using a Docker image, see [Quick Start](https://docs.risingwave.com/docs/current/get-started/).
## When is RisingWave the perfect fit?
RisingWave is the ideal solution for:
* Managing real-time data sources like Kafka streams, database CDC, and more.
* Executing complex, on-the-fly queries, including joins, aggregations, and time windowing.
* Interactively and concurrently exploring consistent, up-to-the-moment results.
* Seamlessly delivering results to downstream systems.
* Processing both streaming and batch data with a unified codebase.
## In what use cases does RisingWave excel?
RisingWave is particularly effective for the following use cases:
* **Streaming analytics**: Achieve sub-second data freshness in live dashboards, ideal for high-stakes scenarios like stock trading, sports betting, and IoT monitoring.
* **Event-driven applications**: Develop sophisticated monitoring and alerting systems for critical applications such as fraud and anomaly detection.
* **Real-time data enrichment**: Continuously ingest data from diverse sources, conduct real-time data enrichment, and efficiently deliver the results to downstream systems.
* **Feature engineering**: Transform batch and streaming data into features in your machine learning models using a unified codebase, ensuring seamless integration and consistency.
## Production deployments
[**RisingWave Cloud**](https://cloud.risingwave.com) offers the easiest way to run RisingWave in production.
For **Docker deployment**, please refer to [Docker Compose](https://docs.risingwave.com/docs/current/risingwave-docker-compose/).
For **Kubernetes deployment**, please refer to [Kubernetes with Helm](https://docs.risingwave.com/docs/current/risingwave-k8s-helm/) or [Kubernetes with Operator](https://docs.risingwave.com/docs/current/risingwave-kubernetes/).
## Community
Looking for help, discussions, collaboration opportunities, or a casual afternoon chat with our fellow engineers and community members? Join our [Slack workspace](https://risingwave.com/slack)!
## Notes on telemetry
RisingWave uses [Scarf](https://scarf.sh/) to collect anonymized installation analytics. These analytics help support us understand and improve the distribution of our package. The privacy policy of Scarf is available at [https://about.scarf.sh/privacy-policy](https://about.scarf.sh/privacy-policy).
RisingWave also collects anonymous usage statistics to better understand how the community is using RisingWave. The sole intention of this exercise is to help improve the product. Users may opt out easily at any time. Please refer to the [user documentation](https://docs.risingwave.com/docs/current/telemetry/) for more details.
## License
RisingWave is distributed under the Apache License (Version 2.0). Please refer to [LICENSE](LICENSE) for more information.
## Contributing
Thanks for your interest in contributing to the project! Please refer to [RisingWave Developer Guide](https://risingwavelabs.github.io/risingwave/) for more information.