GitHub
High-performance rust stream processing engine
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Description
ArkFlow is a high-performance Rust stream processing engine designed for powerful data stream processing capabilities. It supports multiple input and output sources, making it versatile for various data processing needs.
How to use GitHub?
To use ArkFlow, clone the repository, build the project using Cargo, and create a YAML configuration file to define input sources, processing pipelines, and output targets. Run the engine with the configuration file to start processing data.
Core features of GitHub:
1️⃣
High Performance: Built on Rust and Tokio async runtime for excellent performance and low latency.
2️⃣
Multiple Data Sources: Supports Kafka, MQTT, HTTP, files, and other input/output sources.
3️⃣
Powerful Processing Capabilities: Includes built-in SQL queries, JSON processing, Protobuf encoding/decoding, and batch processing.
4️⃣
Extensible: Modular design allows easy extension with new input, output, and processor components.
5️⃣
Configuration Flexibility: Uses YAML format for configuration, supporting various input, processing, and output configurations.
Why could be used GitHub?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Real-time data processing from Kafka topics. | ✅ | |
| # 2 | Batch processing of data from files or HTTP sources. | ✅ | |
| # 3 | Data transformation and analysis using SQL queries. | ✅ | |
Who developed GitHub?
ArkFlow is developed by Chen Quan, who focuses on creating high-performance data processing solutions using Rust.