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Cloud-Native Intelligent Lakehouse Platform

An enterprise-grade, one-stop platform for real-time data analytics and AI development. It provides real-time integration of multi-source data, real-time data warehouse modeling, a BI metrics and reporting platform, and an AI development environment — bringing data and AI together

Documentation

HUAWEI Cloud

Alibaba Cloud

KubeSphere

AWS

Version 1: Data Center Edition

Covers real-time data integration, real-time compute development, and data query services, building a real-time lakehouse data intelligence foundation for enterprises.

Version 2: Metrics & Reporting Edition

Built on real-time lakehouse storage, it provides a low-code metrics platform and real-time BI reports, enabling data-driven management decisions.

Version 3: AI Development Edition

Build AI models seamlessly on lakehouse data, supporting both BI and AI applications on a single copy of data.

Rich Application Scenarios for Diverse Business Needs

Ideal for unified aggregation and management of multi-source heterogeneous data and batch updates of data streams, supporting data-driven, intelligent decision-making across industries

Government & Enterprise

Build a data intelligence platform to improve data governance standards and decision-making efficiency.

Internet

Collects event tracking and transaction data in real time across e-commerce, advertising, content, and marketing scenarios, builds machine learning samples, and powers real-time personalized recommendation systems.

Manufacturing

Organizes large-scale IoT data and provides real-time query and analytics, building real-time prediction and alerting models that guide production operations and improve efficiency.

Finance

Ingests data from core databases such as Oracle into the lakehouse, combines user profile data, computes metrics and AI models in real time, and supports key businesses such as personalized credit and real-time anti-fraud.

Advantages

Low Cost

A cloud-native lakehouse provides massive storage and elastic compute, with low delivery and maintenance costs

High Timeliness

Replaces traditional T+1 batch jobs with minute-level report updates, reducing compute costs

Unified Data Foundation

Builds a unified data foundation around the lakehouse with consistent metric definitions, avoiding redundant, siloed systems

One-Stop Open Ecosystem

Supports diverse data applications such as BI dashboards and AI directly on the lakehouse, fully unlocking the value of data

Case Studies

A Large Aviation Group: Real-Time Lakehouse Platform

Adopted a real-time lakehouse platform to gradually replace the legacy T+1 data warehouse with real-time modeling, and built a real-time data service platform that enables self-service data access for the business while laying the foundation for future AI applications.

A Transportation Group: Integrated Lakehouse Data Platform

Used a real-time lakehouse platform to aggregate enterprise-wide data, build a metrics system, and apply automated BI reporting and natural language querying (AI).

An Internet Finance Company: Real-Time Data Intelligence Platform

Integrated multi-source marketing data in real time, built refined user profiles, extracted key features, and trained personalized loan-assistance models, delivering significant business benefits.

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