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    • Home
    • Product
    • Solutions
      • Data warehouse
      • Data lake
      • Data sharing
    • CUSTOMER SUCCESS
      • Hengfeng Bank
      • China Mobile
    • Contact
    • About
  • Home
  • Product
  • Solutions
    • Data warehouse
    • Data lake
    • Data sharing
  • CUSTOMER SUCCESS
    • Hengfeng Bank
    • China Mobile
  • Contact
  • About

Data Warehouse on Cloud

Background

Problems faced by traditional data warehouses:

  • Not designed for daily transaction scaling, data diversity, and complexity of data
  • Tightly coupled design, long time-to-value, and complex integration requirements
  • High CAPEX, and lengthy expansion schedule

Architecture

Benefits

On-demand Resources

Data Warehouse as a Service

Data Warehouse as a Service

  • Pay per use, and per second billing
  • The cost is only 1/10 of traditional solutions

Data Warehouse as a Service

Data Warehouse as a Service

Data Warehouse as a Service

  • You can deploy a cluster in as little as 5 minutes
  • Easy to use, and no professional maintenance personnel is required

Technology ecosystem

Technology ecosystem

Technology ecosystem

  • Native with PostgreSQL and Greenplum ecosystem
  • Seamlessly migrate from the traditional Greenplum applications

Elastic scaling

Technology ecosystem

Technology ecosystem

  • Perform on-demand scale-out within 15 minutes
  • Conserve system resources by on-demand scaling-in

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Photos credited to Unsplash.

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