Full visibility into the entire data pipeline. Explore, query, and visualize data through Qubole’s SQL Workbench. Integrate with JDBC and ODBC connectors to the BI tool of your choice to explore and visualize data.
Full visibility into the entire data pipeline. Explore, query, and visualize data through Qubole’s SQL Workbench. Integrate with JDBC and ODBC connectors to the BI tool of your choice to explore and visualize data.
Create and manage automated ingestion pipelines through Qubole Scheduler.
Data scientists can choose their favorite data science tools from a variety of natively supported engines within Qubole. Use programming languages you already know, and collaborate through Qubole’s hosted notebook service.
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.
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.
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 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.
Free access to Qubole for 30 days to build data pipelines, bring machine learning to production, and analyze any data type from any data source.
See what our Open Data Lake Platform can do for you in 35 minutes.