Microsoft Azure Event Hubs is a fully managed, real-time data ingestion service that integrates seamlessly with other Azure services. It enables customers to use real-time data in transactional or analytical applications running on Azure. The Striim platform enables continuous, real-time data loading to Event Hubs from on-premises and other cloud data stores. Striim can be deployed in the cloud, on-premises, or in a hybrid topology.
By streaming real-time data to Event Hubs from enterprise databases, log files, IoT sensors, messaging systems, Hadoop and NoSQL databases. Striim enables businesses to use live, production data in their Azure solutions and easily move their high-value workloads to Azure.
Striim moves data from on-premises and other cloud-based data stores to Azure Event Hubs in real time to enable fully-integrated data architectures.
For ingesting real-time data from enterprise databases, such as Oracle, SQL Server, HPE Nonstop, MySQL, PostgreSQL, MongoDB, Striim employs non-intrusive change data capture (CDC) to avoid impacting the performance of source systems.
With built-in fault-tolerance, scale-out architecture, and exactly-once-processing, Striim supports mission-critical solutions running on Azure without requiring extra development.
Real-time data flow with stream processing supports the needs of different consumer applications without additional step for transformations and enrichments.
Striim offers a secure, reliable, and scalable service for real-time collection, preparation, and movement of unstructured, semi-structured, and structured data into Event Hubs to support a wide range of other Azure services.
While the data is streaming, Striim enables in-flight processing, including filtering, aggregations, masking, transformations, and enrichment, before delivering to Azure Event Hubs to support different consumers such as mobile devices, and real-time applications.
Striim’s wizard-based, drag-and-drop design interface speeds deployment and time-to-value for Azure solutions.
Designed for high-volume, high-velocity data environments
Real-time, low-impact CDC from enterprise databases
SQL-based stream processing via a drag-and-drop UI