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Qubole VS Open Text Magellan

Compare Qubole VS Open Text Magellan and see what are their differences

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Contents:
  1. » Base Details
  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.

Open Text Magellan logo Open Text Magellan

OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.
  • Qubole Landing page
    Landing page //
    2023-06-22
  • Open Text Magellan Landing page
    Landing page //
    2023-10-07

Qubole videos

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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

Open Text Magellan videos

No Open Text Magellan videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Qubole and Open Text Magellan)

Qubole

Open Text Magellan

Data Dashboard
100 100%
Data Dashboard
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Big Data
100 100%
Big Data
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100

User comments

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What are some alternatives?

When comparing Qubole and Open Text Magellan, you can also consider the following products

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

BAAR - BAAR is a Business Workflow Automation platform to help you automate digital security.

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

Infrrd.ai - Cheaper, Lighter, Faster Enterprise AI platform that makes sense of your image, text and behavioral data to automate decision for cost/man power reduction or revenue increase.

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

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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