Guandata DataFlowData Development Platform providing a complete BI data development framework for enterprises
Guandata DataFlow
Enterprise Data Development Workbench
Guandata DataFlow is an all-in-one, low-code data development platform that provides capabilities such as real-time data synchronization, batch extraction, cross-platform data processing, and robust workflow orchestration. By rapidly aggregating enterprise data and dismantling data silos, DataFlow unlocks the value of your data and empowers digital intelligence transformation.
Business Pain Points
Enterprise data infrastructure lacks flexible, intuitive, and cost-effective tooling
Key Use Cases & Business Value
Empowering critical workflows including high-throughput real-time data ingestion and unified analytics across lakehouse and warehouse pipelines
Breaking Down Enterprise Data Silos
Seamlessly consolidate data from disparate sources across the enterprise into data lakes or cloud data warehouses. Enable scalable full and incremental data synchronization that is secure, reliable, and easy to use.
Enterprise-Grade Data Warehouses for Data Sharing
Offering visual data integration and development for core workflows, enabling the streamlined construction of enterprise data warehouses, and providing highly reliable, accessible data marts and data services.
Low-Latency Data Synchronization for Agile Analytics
High-performance batch data integration coupled with real-time updates. This enables seamless data synchronization between enterprise data warehouses and business systems to support real-time analytics and agile decision-making.
Product Architecture
Enterprise one-stop data development workbench
Core Capabilities
Rapidly centralize enterprise data and accelerate the construction of enterprise data warehouses
Multi-Source Data Integration with Flexible Full & Incremental Sync
Comprehensively supports batch data synchronization across disparate data sources—including business systems, data warehouses, flat files, and APIs. Empowers flexible full and incremental data loads to meet diverse integration needs.
Batch Data Development with an Intuitive Visual Builder
Provide a low-code, visual ETL workflow orchestration interface. Enhance extensibility with support for custom Python and Shell scripts, and significantly boost development efficiency through built-in loops, conditional branching, and sub-workflows.
Low-Latency Synchronization for Live Business Operations
Enable CDC-based real-time data synchronization across disparate databases such as MySQL, Oracle, and PostgreSQL. This empowers real-time downstream querying, analytics, and agile business responses.
Pipeline Observability for Rapid Troubleshooting
Provide intuitive visualizations, such as instance execution Gantt charts and DAGs (Directed Acyclic Graphs), to monitor task status and rapidly pinpoint failed nodes. Enable teams to perform root-cause analysis via execution logs and support task reruns and automated failure recovery to guarantee data integrity.
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