Qubole
The Cost Efficient Data Lake
Qubole is an open, secure data lake platform that runs on AWS and Google Cloud, bringing machine learning, streaming analytics, data exploration, and ad-hoc analytics into a single environment. It addresses the effort involved in running data pipelines and analytical workloads across clouds by automating cluster installation, configuration, and maintenance, while providing governed access to structured and unstructured datasets.
The platform includes Workbench for authoring and sharing reports and queries, an Assisted Pipeline Builder for streaming and batch pipelines, and notebooks with offline editing, multi-language interpreters, version control, an integrated package manager, and Qviz visualization. It supports Apache Spark, Presto, Hive/Hadoop, TensorFlow, and Airflow, with built-in integrations for Tableau, Looker, and Git. Platform Runtime Services handle workload-aware autoscaling and spot resource management, while security and governance features cover encryption, RBAC, ACID-based data controls, and integration with cloud IAM, Active Directory, and LDAP.
Qubole is aimed at data analysts, data engineers and architects, data scientists, and administrators, as well as executives focused on cost and productivity. It offers a free trial lasting 30 days with support for up to five team members, alongside an Enterprise Edition billed monthly based on usage and an On-Demand annual package for end-to-end data lake services.
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