Qubole

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Qubole is a cloud-native data lake software for scalable analytics, machine learning, and data processing.

Founded 2011Santa Clara, United States101-500 EmployeesWeb, Linux, Windows, Mac

Key Features

Booking NotesCluster DeploymentCollaboration ToolsCompliance ManagementCost TrackingCustom Metadata TemplatesData RecoveryData StoragePerformance optimization
Freemium

Top 5 Qubole competitors

Curated list of the best machine learning software tools to replace Qubole

Qubole — Pros & Cons

Pros

  • Provides an excellent self-service platform for hosting and managing Big Data workloads.
  • Automates setup, configuration, and maintenance of various open-source data engines like Spark and Presto.
  • Features intelligent workload-aware autoscaling and real-time spot buying for significant cost optimization.
  • Offers a unified environment supporting optimized versions of Spark, Presto, Hive, and multiple cloud providers.
  • Simplifies ETL processes with efficient data management, especially with S3 and Hadoop's HDFS.

Cons

  • Considered commercially more expensive than industry alternatives offering similar data lake capabilities.
  • Lacks extensive native automation features directly through the platform, which can be a drawback.
  • Qubole Notebooks are reported by some users to be finicky and occasionally brittle.
  • Offers fewer built-in ETL tools compared to the broader range available from competitors.
  • Users have experienced occasional issues with cluster management and complex workflow configuration challenges.

Feature Comparison

Compare Qubole with top alternatives side by side.

FeatureQuboleRoboflowMonkeyLearnPyTorchkeras
Pricing
Freemium
Freemium
Paid
Paid
Freemium
Booking Notes
Cluster Deployment
Collaboration Tools
Compliance Management
Cost Tracking