Business Scenario

As a sales agent for multiple leading cloud service providers, the customer uses transaction, CRM, financial, and customer service systems for business analysis but found a previous Hadoop-based big data platform overly cumbersome. It now seeks an integrated platform combining transactions, analysis, and data governance—one that enables full-process automated data governance with 24-hour timeliness, limits resource usage to 3 nodes, and requires no dedicated DBAs for operation and maintenance.​

Business Challenges

High Investment in Data Analysis

The 6-member business analysis technical team takes 2 weeks to produce a report; the new platform demands full-process automation for data governance and development.

Low Total Cost of Ownership for the Platform

Hadoop’s cumbersome architecture isn’t fit for SMEs; the new solution needs a simple architecture with low implementation and maintenance costs.

High Timeliness of Reports

It requires an integrated architecture of real-time transaction and analysis database-warehouse to achieve T+0 timeliness for business analysis.
Solutions

1.Heterogeneous Data Integration Solution

Liquid enables strong multi-source heterogeneous data integration across diverse sources and protocols.

2.Tenant Resource Sharing with Second-Level Online Scaling

Luban’s visual data development and scheduling cut costs for heterogeneous data exploration and governance, with second-level online scaling.

3.One-Click, White-Screen Operation and Maintenance

One-click deployment and white-screen operations simplify implementation and management costs.

4.HTAP Engine for Hybrid Workloads

HexaDB-H’s HTAP engine supports concurrent transactions and complex query analysis.

Customer Benefits

Easy Data Warehousing

The customer’s 12 heterogeneous data sources across 3 categories were integrated and launched in just 5 days.

Improved Efficiency of Business Decision-Making

HexaDB hosts CRM and customer service core data, integrates seamlessly with Feishu, and cuts business report cycles from two weeks to one hour, enabling more real-time, accurate decision-making.

7-Fold Improvement in Human Efficiency

The customer cut data analysis investment from 70 to 10 person-days, boosting business operation efficiency sevenfold.