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Qubole

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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Qubole Alternatives

The best Qubole alternatives based on verified products, votes, reviews and other factors.
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  1. A high-level language and interactive environment for numerical computation, visualization, and programming

  2. Turbonomic AI-powered Application Resource Management simultaneously optimizes performance, compliance, and cost in real time. Applications are continually resourced, automatically, to perform while satisfying business constraints.

  3. A fully managed data warehouse for large-scale data analytics.

  4. RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

  5. MicroStrategy is a cloud-based platform providing business intelligence, mobile intelligence and network applications.

  6. Automate various tasks on your Android smartphone or tablet.

  7. Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

  8. Control‑M simplifies and automates diverse batch application workloads while reducing failure rates, improving SLAs, and accelerating application deployment.

  9. The BI & Dashboard Software to handle multiple, large data sets.

  10. Sumo Logic is a secure, purpose-built cloud-based machine data analytics service that leverages big data for real-time IT insights

  11. Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

  12. Dataiku's single, collaborative platform powers both self-service analytics and the operationalization of machine learning models in production.

  13. Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

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This article was published on | Author: | Publisher: SaaSHub
Categories: Technical Computing, Numerical Computation, Big Data