Get the latest updates on Azure products and features to meet your cloud investment needs. Subscribe to notifications to stay informed.RSS feed
The new Azure Event Hubs SDK is now generally available for Go, allowing developers to build Go apps that send and receive events from Azure Event Hubs.
Users now can utilize MirrorMaker2 for effortless data replication from their on-premises or managed Kafka cluster directly to Event Hubs.
With Kafka Connect support GA, users can seamlessly and reliably stream data between Azure Event Hubs and external systems such as databases, key-value stores, file systems and other data sources.
Users now can use managed identities when capturing event streams to storage services such as Azure Storage Services or Azure Data Lake storage 2.
Log compaction in Event Hubs introduces a key-based retention mechanism where the most recent value associated with each event key in an event hub or Kafka topic is retained.
Stream Analytics now supports end-to-end exactly once semantics when writing to Event Hub output.
Azure Stream Analytics can now fetch schema from the Schema Registry and deserialize data from Event Hub inputs for Avro format.
Generally available: Azure Event Hubs Dedicated self-serve scalable clusters for mission critical Kafka, AMQP and HTTPs workloads
Target availability: Q1 2023
Run you mission critical Kafka, AMQP and HTTPS event streaming workloads with consitenct low latency.
Independently throttle your event streaming workloads using application groups and client applications information at namespace or event hub/Kafka topic level.
New features are now available in Stream Analytics no-code editor GA including Power BI output support, and data preview optimization. Power BI output feature enables you to build real-time dashboard in minutes and low-cost.
Stream Analytics no-code editor now supports capturing Event Hubs data into ADLS gen2 with Delta Lake format.
New features are now available in Stream Analytics no-code editor GA including multiple parameter built-in functions support, Delta Lake format support in ADLS Gen2 output sink.
Stream Analytics no-code editor enables you to develop a Stream Analytics job in minutes with drag and drop experience. Now, it is generally available with several new capabilities added.
Target availability: Q2 2022
Independently throttle your event streaming workloads using application groups and client applications information.
Target availability: Q2 2022
Load real-time streaming data in Azure Event Hubs to data lakes, warehouses, and other storage services in Parquet format.
Stream Analytics no code editor provides a rich, no code, drag and drop experience for you to build you streaming pipeline within minutes.
Event Hubs Premium comes with reserved compute, memory, and storage resources, which increases the performance and minimizes cross-tenant interference in a managed multi-tenant PaaS environment.
Event Hubs Premium is a new product SKU that is tailor-made for high-end event streaming scenarios that require elastic, superior performance with predictable latency.
Supports streaming events via Event Hubs for disconnected scenarios on Azure Stack Hub.
Azure Stream Analytics now supports managed identity for Blob input, Event Hubs (input and output), Synapse SQL Pools and customer storage account. As a result, customers do not have to manage service-to-service credentials by themselves, and can process events when streams of data are coming from Event Hubs in a VNet or using a firewall.
Azure at Microsoft Build
Read the Azure blog for latest news and announcements.Blog
Get answers to your questions from Microsoft and Community experts.Community support
Read commonly asked questions on Azure updates.FAQ
Find the latest news, updates and resources for Azure partners.Azure Partner Zone
Tell us what you think of Azure and what you want to see in the future.Provide feedback
Azure is available in more regions than any other cloud provider.Check product availability in your region