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Industrial IoT

GSE Pro

86% compression, 35% lower storage costs, and 50% faster graph rendering across 250+ clients.

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Services provided
Data Migration · Platform Modernization
Technologies
ASP.NET · TimescaleDB · AWS · Apache Superset
GSE Pro energy analytics dashboard

The challenge

GSE needed to replace and simplify legacy data architecture, improve high-frequency ingestion and query performance, lower storage costs, modernize the user interface, move infrastructure to AWS, and create scalable analytics for thousands of retail locations.

What Silver River delivered

We consolidated the sensor data into a time-series architecture built for analysis. The migration moved 15 TB from SQL Server to TimescaleDB and brought more than 490 tables into one optimized hypertable, reducing storage requirements and improving graph rendering.

The result

86% compression, 35% lower storage costs, and 50% faster graph rendering across 250+ clients.

Key phases

  1. Discovery and architecture

    Design a time-series data model for the existing sensor estate.

  2. Platform development

    Build the optimized storage and analytics structure.

  3. Migration and integration

    Migrate 15 TB and consolidate more than 490 tables into a hypertable.

  4. Launch and ongoing support

    Deliver faster graph rendering and lower storage costs across the client platform.

Technologies

  • ASP.NET
  • TimescaleDB
  • AWS
  • Apache Superset

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