
Apache SeaTunnelThe Apache Software Foundation
Apache SeaTunnel is a high-performance, distributed data integration platform that supports real-time synchronization of massive datasets. It simplifies complex data workflows across various sources and engines, enabling stable, scalable, and efficient data movement for enterprise-grade applications.
Vendor
The Apache Software Foundation
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Product details
Apache SeaTunnel
Apache SeaTunnel is a multimodal, ultra-high-performance, distributed data integration platform designed to synchronize massive datasets in real time. It supports various synchronization scenarios and integrates with hundreds of data sources, offering a flexible and scalable solution for enterprise-grade data movement and transformation.
Features
- Connector API: Enables development of Source, Transform, and Sink connectors independent of execution engines.
- Rich Connector Ecosystem: Supports over 100 connectors for databases, file systems, cloud storage, and SaaS platforms.
- Batch and Stream Integration: Compatible with offline, real-time, full, and incremental synchronization.
- Visual and Code-Based Job Development: Offers both canvas design and coding options for job creation.
- Monitoring and Scheduling: Provides detailed metrics and visual tools for job management and performance tracking.
- Multi-Engine Support: Runs on SeaTunnel Engine (Zeta) by default, with support for Spark and Flink.
Capabilities
- Real-Time Synchronization: Handles tens of billions of records daily with high throughput and low latency.
- Fault Tolerance and Snapshotting: Uses distributed snapshot algorithms and pipeline-level fault isolation.
- Dynamic Thread Sharing: Optimizes resource usage for small-table synchronization tasks.
- Autonomous Cluster Management: Supports decentralized cluster formation and automatic master node selection.
- Schema Transformation: Allows flexible data schema adjustments between source and sink.
Benefits
- Scalability: Efficiently processes massive datasets across distributed environments.
- Flexibility: Adapts to various data sources and synchronization needs without relying on external big data components.
- Ease of Use: Simplifies job creation and management through visual tools and intuitive APIs.
- Stability: Proven in production by nearly 100 companies, ensuring reliability and robustness.
- Cost Efficiency: Reduces resource consumption and operational complexity.
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