FarData

Big Data Platform

FarData Platform

FarData is an advanced development and governance solution designed to help governments and enterprises build modern, data-driven infrastructures. By simplifying complex engineering tasks, it reduces technical barriers and improve overall development efficiency.

Widely adopted across industries—including finance, e-commerce, manufacturing, and logistics—the platform empowers organizations to seamlessly construct real-time and offline data lakes. It delivers a comprehensive Data Lakehouse architecture for unified management, advanced analytics, and agile application delivery.

Built on a comprehensive technology stack (Spark, Flink, Presto, Hive, and HBase, etc.) FarData handles scenarios from real-time data warehousing to end-to-end governance. Ultimately, it empowers enterprises to unlock the full potential of their digital assets.

Functional Features

Data Exchange

Support data exchanges between heterogeneous databases, log data acquisition, and real-time synchronization of databases
Supports data ingestion through messaging systems.
Support data migration for cloud adoption and relational database migration scenarios.
Support real-time database synchronization in real-time data warehouse scenarios

Data Development

Provides a unified development environment for batch processing and real-time streaming tasks, with flexible DAG-based workflow orchestration.
Supports online script development with visualized database information
Enables drag-and-drop workflow design and automated scheduling through workflow orchestration.

Data Quality Management

Data quality services are used to check the uniqueness, completeness, consistency, and other aspects of data quality.
Application scenario 1: After completing data acquisition tasks, it checks whether the data entries and contents are consistent between the source and target sheets, helping to identify data issues more quickly and enhance data accuracy and credibility.
Application scenario 2: Before regulatory data submission, it checks whether the data quality meets industrial data standards.

Metadata Management

Collects and analyzes metadata to establish data relationships and provide a 360°view of enterprise data assets.
Supports tracing data sources and processing workflows.

Data Services

Enables rapid creation and lifecycle management of Data APIs.
Provides secure API hosting services.
Supports secure business integration with external partners and communication across heterogeneous enterprise systems.
Provides an intuitive data visualization platform for interactive analytics and diversified reporting, reducing implementation time and costs.

Data Visualization

The data visualization platform is easy to learn and use. It performs the diverse display and interactive analysis of reports effortlessly, significantly shortening project timelines and reducing implementation costs.
Support online creation of reports and real-time search, etc.;
Support creation of charts in various forms, including pie charts, line charts, and maps;
Support creation of dynamic, large data screens through component combinations; meet the needs in various application scenarios with visual configuration, flexible layout, and quick release; with self-adapt to multi-screen display.

Product Advantages

High Performance & Reliability

Delivers high-performance data ingestion and storage capabilities with reliable processing of tens of billions of data records per day.

Real-time Data Warehouse

Built on a scalable Massively Parallel Processing (MPP) architecture, supporting real-time data ingestion, updates, and analytics.
Supports trillion-scale data queries with response times within seconds

Workflow Scheduling System

The workflow scheduling system features high reliability, scalability, and ease of use.
The decentralized multi-Master and multi-Worker design prevents single points of failure. It supports the scheduling of up to 500,000 workflows per day.

Continuous Concurrency