Scaling IoT/Time Series/Metering Workloads with Azure Cosmos DB for PostgreSQL
Introduction :
For many organizations around the world, the capture of consumption data is a common yet critical requirement. Some of these organizations struggle to manage the sheer volumes of data that they must capture and process. No wonder! We conservatively estimate that there would petabytes of such data globally and it is likely growing at a rapid rate.
The post Scaling IoT/Time Series/Metering Workloads with Azure Cosmos DB for PostgreSQL appeared first on Azure Cosmos DB Blog.
Published on:
Learn moreRelated posts
Build 2025 Preview: Transform Your AI Apps and Agents with Azure Cosmos DB
Microsoft Build is less than a week away, and the Azure Cosmos DB team will be out in force to showcase the newest features and capabilities f...
Fabric Mirroring for Azure Cosmos DB: Public Preview Refresh Now Live with New Features
We’re thrilled to announce the latest refresh of Fabric Mirroring for Azure Cosmos DB, now available with several powerful new features that e...
Power Platform – Use Azure Key Vault secrets with environment variables
We are announcing the ability to use Azure Key Vault secrets with environment variables in Power Platform. This feature will reach general ava...
Validating Azure Key Vault Access Securely in Fabric Notebooks
Working with sensitive data in Microsoft Fabric requires careful handling of secrets, especially when collaborating externally. In a recent cu...
Azure Developer CLI (azd) – May 2025
This post announces the May release of the Azure Developer CLI (`azd`). The post Azure Developer CLI (azd) – May 2025 appeared first on ...