Data Science Platforms Users Have Shared Their Experience With Us
Updated December 2024
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Databricks review
Dunstan Matekenya
Data Scientist at a financial services firm with 10,001+ employees
Process large-scale data sets and integrates with Apache Spark with notebook...
Databricks integrates natively with Apache Spark, which I use as a processing engine for large-scale datasets. This native integration is one of its strengths. Another strength is that the platform makes it very easy to manage resources. For example, setting up a cluster of five or fifteen nodes is straightforward with Databricks. The...
Alteryx review
Vivek Vaibhav
Manager at Bain & Company
Has a good UI and drag-and-drop features which makes it easy to understand
There have been some issues with licensing, particularly with the increased prices. This has led some companies, including ours, to consider reducing the number of licenses or potentially discontinuing their use of Alteryx. Since most of our team members work with Alteryx, deploying workflows to clients who may not have licenses became a...
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