This post has been republished via RSS; it originally appeared at: Azure Data Explorer Blog articles.
Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. Customers are using Azure Data Explorer to collect, store, and analyze diverse data to improve products, enhance customer experiences, monitor devices, and boost operations. Azure Data Explorer is deployed in all Azure regions and deployed over 1M (1 Million) CPU Cores in Azure.
In partnership with AMD and Azure Compute, Azure Data Explorer is announcing the support of a range of new AMD EPYC™ Processor based SKU Families to provide customers with more options to deploy their enterprise analytical workload. Azure Data Explorer is also adding another SKU in development tier which is the most cost-effective entry-level SKU for customers to evaluate and build their solutions on to the platform.
Following is the list of new SKUs that are now supported by Azure Data Explorer Engine *:
Azure Data Explorer is also adding DA_v4 SKU family to its Data Management service ** fleet to provide cost optimal SKU to support data ingestion pipelines. SKUs that are going to be supported are, D2A_v4 (2 Core), D4A_v4 (4 Core) and D8A_v4 (8 Core).
* Availability and price for SKU can vary by region.
** Data Management cluster is auto provisioned based on Engine SKU to provide optimal data ingestion performance and cost.
Existing customers can also take advantage of new SKUs by going to portal and changing the SKU for their current cluster deployment. For more information, please visit Cluster scaling page.
For more information on SKUs, please visit Azure Data Explorer Pricing.
To estimate your Azure Data Explorer cost, visit the cost estimator page.