Natively designed for Microsoft Azure and tightly integrated with its storage, compute, security and other key architectural elements, QDS on Azure is the best Autonomous Data Platform for any organization implementing big-data projects on Microsoft Azure.

Microsoft Azure

Getting started is easy. Try Qubole With Microsoft Azure Cloud.

Key features and capabilities

natively designed for Azure

Natively designed for Azure

  • Builds upon the strengths of Azure
    • Integration with Active Directory
    • Planned integration with Azure Data Lake
    • Supports a variety of Azure VM Shapes
    • Separation of Compute (Azure VMs) and Storage (Azure Blob)
    • End-to-end security
  • Integrates with all major data sources through dedicated connectors
    • SQL Server, MySQL, PostgreSQL

cost effective

Cost effective

  • Uses elastic resources effectively thanks to Workload Aware Auto-scaling and other Cloud Agents
  • Azure per-minute billing makes Workload Aware Auto-scaling even more cost effective

Your Azure Big Data Co-Pilot

  • Eliminates unnecessary steps in the configuration of clusters
  • Azure-optimized Cloud Agents minimize need for manual operations in the set-up and scaling of clusters
  • Works with existing customer Azure account. No need to migrate data

Architecture

The Qubole Application Tier orchestrates resources on the customer’s Azure account using customer-provided and revocable Azure Identity security roles. Meta-data describing the data on Azure Blob is stored in the Hive Metastore in the Qubole tier or, if required, on the customer’s account. Workload requests are submitted by users via a web-based Workbench or via Spark Notebooks, by external applications via REST APIs, and by third party Business Intelligence products via ODBC/JDBC drivers. Query results are cached locally by Qubole for future re-use to minimize use of compute resources.

Azure Architecture