Migration from SQL Server and MongoDB to Azure PostgreSQL with Timescale DB
The client, specializing in cloud-based travel management software, needed a solution to handle large volumes of IoT and telemetry data from power grid devices. The objective was to facilitate efficient data management and analysis by consolidating data from SQL Server and MongoDB into a single Azure PostgreSQL instance.
Learn how we executed the migration by enabling Timescale DB in PostgreSQL to handle time-series data effectively. This migration not only streamlined data management but also increased data processing speed by 40%, providing a robust solution for managing large-scale IoT data with enhanced efficiency.
