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Qubole

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259 reviews
  • 1 profiles
  • 4 categories
Average star rating
4.0
Serving customers since
2011
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Qubole Reviews

Review Filters
Profile Name
Star Rating
102
122
25
3
7
FP
Ferdinand P.
01/19/2021
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Great tool to manage Big Data.

It is very easy to use and provides many choices with limited effort to retrieve data. For the EBS volume and the number of nodes, automated cluster termination to prevent waste, easy to turn between different languages such as Hive, Spark, Presto etc, I like the scalability function of Qubole. Clusters can be used well, registry is very fine.
MD
Mert D.
01/13/2021
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Easy to implement and use tool.

I like the very simple to comprehend and use interactive web interface for rapid analysis and creation of results. The best thing is to also view the distribution of services to your operating Spark workers through your Hadoop Cluster and your Spark Cluster. Any choice, whether it involves goods, individuals, systems, or relationships, can be driven by the data activation. To date, we have invested the most in helping organisations close the activation gap. It also offers a standard infrastructure that helps users to operate more easily on the best open source engines with the following ETL, analytics and AI/ML workloads,
Vivek S.
VS
Vivek S.
10/13/2020
Validated Reviewer
Review source: G2 Gives Campaign
Incentivized Review

Quoble allows me to perform click stream analytics

Realtime analytics on the click stream so as to provide best communication to the client and to upscale the product by revamping the UI based on which pages are being viewed the most giving better user experience.

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HQ Location:
Santa Clara, CA

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@qubole

What is Qubole?

Qubole is a cloud-based data management platform that provides big data as a service, designed to make data analytics accessible and efficient for enterprises. The platform automates and simplifies the setup and management of big data processing technologies such as Apache Hadoop, Spark, and Airflow, making it easier for organizations to scale big data workloads, optimize costs, and improve the performance of their data-driven applications.Qubole's services are ideal for data scientists, business analysts, and engineers, enabling them to build, operate, and manage scalable data pipelines and applications. Additionally, Qubole facilitates collaboration across data teams, providing insights and interactive analytics with robust security and compliance features.

Details

Year Founded
2011
Website
www.qubole.com