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Qubole for Data Science

Innovate, differentiate, and modernize with data science and machine learning on Qubole.

Overview

Qubole provides your data science teams with the best tool for every task in the data science life cycle — in a single, cloud-native platform.

Prepare Data

End-to-End Visibility

Full visibility into the entire data pipeline. Explore, query, and visualize data through Qubole’s Analyze and Explore interfaces. Integrate with JDBC and ODBC connectors to the BI tool of your choice to explore and visualize data.

Automation

Create and manage automated ingestion pipelines through Qubole Scheduler.

Flexibility and Extensibility

Choose your favorite data science engine from a variety of natively supported engines within Qubole. Use programming languages you already know, and collaborate through Qubole’s hosted notebook service.

Build and Train Models

Rapid Prototyping

Get started immediately with Qubole’s intuitive graphical interface. Economically accelerate machine learning at scale with workload-aware autoscaling, aggressive downscaling, and intelligent cluster management.

Flawless Execution

Qubole enhances the performance of data processing engines — Hadoop, Spark, and Presto — with proprietary solutions such as fast caching. Rapidly configure and improve the performance of your data science jobs on Spark with SparkLens, Qubole’s Spark tuning tool.

Broad Support for ML Ecosystem

Native support for a broad ecosystem of open source ML libraries and frameworks covers all of your data science needs — today and tomorrow. Use Spark, MLib, MXNet, Tensorflow, Keras, SciKit Learn, Python, or R, with integrated Notebook service for ease of use and collaboration.


Deploy & Monitor

Collaborate

Deploy trained models through either Qubole Dashboards or Qubole Notebooks.

Schedule Production Jobs

Schedule and monitor end-to-end data science workflows with complete visibility into the data pipeline.

Production Workflows

Take advantage of Qubole’s hosted airflow service to create production workflows.

Qubole helped prevent us from making bad decisions that cost the business tens or hundreds of thousands of dollars. -Robert Barclay, VP of Data and Analytics, Return Path
Within the first few weeks, Qubole enabled my team to use distributed frameworks to train and deploy our models. This led to my team building new products within a matter of days. -David McGarry, Director of Data Science, Ibotta
REPORT
Understand Data, Tool, and Platform Requirements for Machine Learning
COURSE
Spark for Data Scientists