Icon of Open, Simple, and Secure Data Lake PlatformQubole

Qubole - Open, Simple, and Secure Data Lake Platform

Qubole is a cost-efficient Data Lake platform that enables the seamless use of multiple data engines together in one simple, open, and secure platform. It offers end-to-end services for running data pipelines, streaming analytics, and machine learning workloads on any cloud.

Qubole Product Information

What is Qubole?

Qubole is a unique Data Lake platform that provides open, simple, and secure services for flexible and efficient data processing. Its workload-aware autoscaling and real-time spot buying drive down compute costs by over 50 percent, making it a cost-efficient choice for data management and analytics. With out-of-the-box workbench & notebooks, Qubole simplifies the adoption and scaling of machine learning, streaming analytics, and ad-hoc analytics.

How to Use Qubole?

To access Qubole, start your free trial to build data pipelines, bring machine learning to production, and analyze any data type from any data source. You can also request an on-demand demo to explore the capabilities of the Open Data Lake Platform in just 35 minutes.

Core Features of Qubole

  • Cost-efficient Data Lake Platform
  • Flexible workload-aware autoscaling
  • Out-of-the-box workbench & notebooks
  • Seamless use of multiple data engines
  • Near Zero Administration for installation and maintenance

Use Cases of Qubole

  • Data pipeline management
  • Machine learning analytics
  • Streaming data analytics
  • Ad-hoc data analytics

FAQ about Qubole

What makes Qubole unique for data lake management?

Qubole stands out for its cost-efficient management of multiple data engines, workload-aware autoscaling, and simplicity in adoption with out-of-the-box workbench & notebooks.

Is Qubole suitable for machine learning workloads?

Yes, Qubole is designed to bring machine learning to production with seamless access to diverse data types and sources for analytics.

How can I start using Qubole?

You can start a free trial to build data pipelines, bring machine learning to production, and analyze any data type from any data source, or request an on-demand demo to explore the capabilities of the platform.

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