Cribl Stream’s data processing engine is available on the Azure cloud.

Enterprises can collect, classify, reduce and analyze edge/streaming data to derive real-time insights in Microsoft Azure deployments.

Striim enables them to rapidly deploy hybrid cloud solutions with continuous data movement from on-premise systems to the cloud. With this release, Striim is the only vendor to offer multiple metered ...

Attunity, a provider of data integration and big data management software solutions, has announced two new solutions: Attunity for Data Lakes on Microsoft Azure, designed to automate streaming data ...

In addition, the ScaleOut Digital Twin Streaming Service provides real-time data aggregation, continuous query, and real-time visualization for Azure digital twin properties.

The no-code editor is hosted in the company’s big-data streaming platform and event ingestion service, Azure Event Hubs. Azure Stream Analytics is a managed real-time analytics service.

Azure Stream Analytics is a real-time analytics and complex event processing engine that is designed to analyze and process high volumes of fast streaming data from multiple sources simultaneously.

Such convergence won't replace dedicated streaming services, but there are clear opportunities for cloud incumbents: Amazon Kinesis Data Analytics paired with Redshift or DynamoDB; Azure Stream ...

In this session of our Azure Databricks Training series, we’ll teach you how to connect directly to data sources like TCP/IP sockets and the Kafka messaging system, transform and output data ...

Microsoft is extending its Azure Stream Analytics tool set with anomaly detection capabilities, powered by Machine Learning. For those curious to try, it is available now in private preview.