Open Data Lake Platform

Qubole

3.2
Product Overview

Highlights: HighlightsFor ad hoc and streaming analytics, the platform's workbench lets you, author, save, collaborate, and share reports and queries. Develop and deliver ad-hoc SQL analytics through the platform and consume data with native Tableau, Looker integrations. Build streaming data pipelines, combine with multiple streaming, and batch datasets to gain real-time insights.For machine learning, build, visualize, and collaborate on ML models. Leverage ML specific capabilities such as offline editing, multi-language interpreters, and version control to deliver faster results.For data engineering, the platform automates pipeline creation, scale, and monitoring. Easily create, schedule, and manage workloads for continuous data engineering. Use the processing engine and language of choice like Apache Spark, Hive, Presto with SQL, Python, R, Scala.

Category: Machine Learning

Delivery Method: Fulfillment OptionsSoftware as a Service (SaaS)Software as a service is a delivery model for software applications whereby the vendor hosts and operates the application over the Internet. Customers pay for using the software without owning the underlying infrastructure. With SaaS Contracts, customers will pay for usage through their AWS bill.

Company Information

Company Name: Qubole

About Company: Qubole is the cloud-native data management platform for analytics and machine learning that allows enterprises to quickly harness the power of data to gain valuable business insights. Only Qubole provides a unified environment for cloud providers and data processing engines. It includes optimized versions of Spark, Presto, Hive, and Airflow, with intelligent automation technology that scales usage up or down to meet service-level needs and minimize cloud costs.

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