Yellowbrick Brings Data Warehousing to Distributed Clouds

Yellowbrick Data has announced Yellowbrick Manager which gives customers unified control of data warehouses across distributed clouds, and general availability of its new Andromeda optimized instance for customers with data sovereignty or high-performance requirements. Additionally, the company has added more agile data movement capabilities to help customers more easily integrate Yellowbrick with data lakes built on cloud object stores like Amazon S3.

Distributed clouds are an emerging architectural pattern characterized by a mesh of interconnected physical and virtualized infrastructure, forming a best-of-breed, logical cloud managed by a single, unified control plane.

Yellowbrick Manager is a rich web UI that offers a consistent management experience across all data warehouse deployments in distributed clouds. It simplifies loading data, writing, and editing SQL, and managing Yellowbrick databases.

“Data is becoming more distributed across private data centers, multiple clouds, and the network edge, creating significant data sovereignty and gravity challenges,” said Yellowbrick CEO Neil Carson. “Yellowbrick led the industry in hybrid cloud innovation. Next, bringing our data warehouse to distributed clouds will be transformative for businesses facing these challenges, especially as use cases like IoT analytics emerge in manufacturing, telecom, and logistics.”

Yellowbrick has also augmented its existing data lake integration capabilities to include native object store connectivity. The new functionality enables high-performance data loading and querying from files in Amazon S3, Azure Data Lake Storage Gen2 (Google Cloud Storage coming soon), and MinIO object stores. With the native object store feature, users can load petabytes of data from object stores into Yellowbrick, orchestrated through Yellowbrick Manager, or via SQL using their preferred tools.

Yellowbrick Manager is currently available in preview and the company expects it to be generally available later this year.

For more information, go to