case study

Postgresql to Snowflake Data Migration

Insurance Snowflake

Business Impacts

Scalable & Flexible Data lake on Snowflake

Enabled data access across the industries

Analytics & Insights to unlock value from data

Robust data pipeline for batch & continuous data load

Customer Key Facts

  • Country : North America
  • Industry : Insurance
  • About : Our client is a premier specialized insurer, adept in managing a broad spectrum of insurance needs including property casualty as well as life and health insurance. Recognized for their expertise and commitment to excellence, they provide tailored insurance solutions that address the unique requirements of their diverse customer base

Problem Context

The customer stored data on Postgresql and their current ecosystem lacked a unified view of data. This made it difficult to access data across the organization & enable analytics to derive insights from their data


  • Limited visibility of data due to silo infrastructure
  • Inability to enable data analytics & generate insights
  • Vast volumes of historical & incremental data
  • Performance issues on PostgresQL

Technologies Used





Control M

Control M




Quantiphi helped the customer build data pipelines to ingest data from Postgresql to Snowflake. Historical data was ingested via batch load & incremental ingestion was done using HVR. This helped the customer create a Snowflake data lake which was leveraged to enable various analytics & BI workloads


  • Exceptional scalability and flexibility on Data Lake
  • Automated pipeline ensures efficient data processing and management
  • Better value extraction due to improved analytics and insights

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