With Qubole’s Workbench, author, save, template and share reports and queries. With optimized ANSI/ISO-SQL (Presto) service, built-in integrations with Tableau and Looker, and out-of-the-box Git integration share reports and queries with single click.
With Qubole’s Assisted Pipeline Builder, you can build streaming data pipelines combining multiple streaming or batch data sources to gain real-time insights. Underlying fault-tolerant infrastructure ensures the accuracy and consistency of your data and results.
With Qubole platform’s offline editing, multi-language interpreter and version control capabilities deliver faster results. Leverage Qubole notebook to monitor application status, job progress, use the integrated package manager and visualize with Qviz
With Qubole, automate end-to-end pipelines and avoid data ingestion and preparation bottlenecks and meet SLAs. Efficiently manage your data pipelines with the flexibility to use preferred programming language and data processing frameworks.
With Qubole, you can build and manage metadata, discover and explore data dependencies, and provide indices and statistics to improve workload performance.
With Qubole, you can scale your compute infrastructure seamlessly on any cloud to accommodate new data and users without additional administrative overhead.
Qubole provides ACID compliance based granular read/write data capabilities for regulatory compliance. Secure access with encryption and RBAC controls. Integrated with leading cloud provider IAMs, AD and LDAP implementations for the same data access privileges.
Qubole delivers faster access to petabytes of secure, reliable and trusted datasets of structured and unstructured data for Analytics and Machine Learning. Users conduct ETL, analytics, and AI/ML workloads efficiently in end-to-end fashion across best-of-breed open source engines, multiple formats, libraries, and languages adapted to data volume, variety, SLAs and organizational policies.
Qubole provides an out-of-the-box workbench and notebooks for data scientists, data engineers, data analysts, and administrators. It supports open source frameworks used by every type of data user including Apache Spark, Presto, Hive/Hadoop, TensorFlow, and Airflow.
Qubole automates the installation, configuration, and maintenance of clusters, multiple open source engines, and purpose-built tools for data exploration, ad-hoc analytics, streaming analytics and machine learning. Organizations realize administrator-to-user ratios of 1:200 or higher and near-zero administration experience.
Qubole’s Workload-aware autoscaling and real-time spot buying drives down compute costs dramatically. Pre-configured financial governance policies and built-in optimization lower data lake cloud computing costs continuously while providing administrator overrides to accommodate special needs.
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.
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