Enable your data science team with the required machine learning tools.
Full visibility into the entire data pipeline. Explore, query, and visualize data through Qubole’s Analyze and Explore interfaces.
Create and manage automated ingestion pipelines through Qubole Scheduler. Leverage automatic cluster lifecycle management to optimize underlying infrastructure.
Choose your machine learning tools out-of-box. Use programming languages you already know, and collaborate through Qubole’s hosted notebook service.
Get started immediately with Qubole’s intuitive graphical interface. Accelerate ML at scale with workload-aware autoscaling, and intelligent spot management from day one.
Rapidly configure and improve the performance of your machine learning jobs with Spark optimizations, SparkLens, and cloud provider specific optimizations.
Get out-of-box support of open source ML libraries and frameworks. Use Spark, MLib, MXNet, Tensorflow, Keras, SciKit Learn, Python, or R, with integrated Notebook service.
Deploy trained models through either Qubole Dashboards or Qubole Notebooks.
Schedule and monitor end-to-end data science workflows with complete visibility into the data pipeline.
Take advantage of Qubole’s hosted airflow service to create production workflows.