Hex Magic

"Review from a Data Scientist who uses HEX daily"

What do you like best about Hex?

I love the always connected cluster and fast code execution in HEX, unlike databricks where I always have to connect the notebooks to cluster to run any code. I have interacted with customer support once and they were really helpful and easily available to help through Slack. I find coding and implementing a solution in both SQL and Python easy on HEX without much hassles. I am a data scientist at Upwork and use HEX almost daily to work on data science problems using Python and SQL. I find the intergation of HEX notebooks with other storage platform like S3 bucket straight forward.

What do you dislike about Hex?

I miss the ease of deploying any notebook as a pipeline and schedule it in form of a workflow in HEX.

What problems is Hex solving and how is that benefiting you?

I am a Data Scientist at Upwork and use HEX as a primary platform to code and implement any business solution using data science involving SQL and Python code. I primarily use notebooks and have successfully built Customer Lifetime Value Model and Marketing Mix Modeling using HEX and have deployed the batch predictions using S3 and scheduler. I really like the simplicity of HEX notebooks and being able to quickly create a visualization for any column in SQL table. I have used Databricks in the past, no doubt it is a much more feature rich platform than HEX but I did not use many of its complex features for my daily work and would always think of some product which is simpler and faster to use and catered to the data science work, HEX comes to the rescue here. One thing which I wish HEX improves is maintaining the folder and file structure in a better way, I do not like the unconventional terminology used here like collections and projects and miss the simple folder and file structure which is more flexible to use and share with others.