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Qubole VS Platfora

Compare Qubole VS Platfora and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Qubole logo Qubole

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

Platfora logo Platfora

BI and Analytics Platform
  • Qubole Landing page
    Landing page //
    2023-06-22
  • Platfora Landing page
    Landing page //
    2018-10-16

Qubole videos

+ Add

Fast and Cost Effective Machine Learning Deployment with S3, Qubole, and Spark

More videos:

  • Review - Migrating Big Data to the Cloud: WANdisco, GigaOM and Qubole
  • Review - Democratizing Data with Qubole

Platfora videos

+ Add

Pete Schlampp, Platfora - #BigDataSV 2016 - #theCUBE

Category Popularity

0-100% (relative to Qubole and Platfora)

Qubole

Platfora

Data Dashboard
61 61%
Data Dashboard
39% 39
Big Data
100 100%
Big Data
0% 0
Development
0 0%
Development
100% 100
Technical Computing
100 100%
Technical Computing
0% 0

User comments

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What are some alternatives?

When comparing Qubole and Platfora, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Looker - 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.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

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

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Snowflake - Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

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