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
Powering Real-Time Messaging at Scale with Azure Cosmos DB
Microsoft Teams, Copilot, Azure Communication Services and many other product offerings from Microsoft, rely on a unified messaging platform t...
Azure SQL Cryptozoology AI Embeddings Lab Now Available!
Missed out on MS Build 2025? No worries! Our lab is now available for your exploration. Dive into a unique cryptozoology experience using Azur...
Vector Support Public Preview now extended to Azure SQL MI
We are thrilled to announce that Azure SQL Managed Instance now supports Vector type and functions in public preview. This builds on the mome...
Building Multi-Agent AI Apps in Java with Spring AI and Azure Cosmos DB!
As AI-driven apps become more sophisticated, there’s an increasing need for them to mimic collaborative problem solving – like a t...
What runs ChatGPT, Sora, DeepSeek & Llama on Azure? (feat. Mark Russinovich)
Build and run your AI apps and agents at scale with Azure. Orchestrate multi-agent apps and high-scale inference solutions using open-source a...
Azure Cosmos DB TV – Everything New in Azure Cosmos DB from Microsoft Build 2025
Microsoft Build 2025 brought major innovations to Azure Cosmos DB, and in Episode 105 of Azure Cosmos DB TV, Principal Program Manager Mark Br...
Azure DevOps with GitHub Repositories – Your path to Agentic AI
GitHub Copilot has evolved beyond a coding assistant in the IDE into an agentic teammate – providing actionable feedback on pull requests, fix...