Software Alternatives & Reviews

Dataiku DSS VS Qubole

Compare Dataiku DSS VS Qubole and see what are their differences

Dataiku DSS logo Dataiku DSS

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

Qubole logo Qubole

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
  • Dataiku DSS Landing page
    Landing page //
    2023-10-21

Get Started with a Free Trial: https://www.dataiku.com/product/get-started/

  • Qubole Landing page
    Landing page //
    2023-06-22

Dataiku DSS videos

Dataiku DSS Tutorial 101: Your very first steps

More videos:

  • Demo - Dataiku 3 Minute Demo

Qubole videos

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

Category Popularity

0-100% (relative to Dataiku DSS and Qubole)
Data Science And Machine Learning
Data Dashboard
0 0%
100% 100
Technical Computing
22 22%
78% 78
Big Data
0 0%
100% 100

User comments

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What are some alternatives?

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

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

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

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

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

Google Cloud Machine Learning - Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

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