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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

Vendor

The Apache Software Foundation

Company Website

Company Website

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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.