EG Sigma vs. Hex.tech

Sigma is very quick and easy to create reports with for internal and external uses. Their customer support is great, it has a simple interface that is easy to learn and manipulate, and it is an excellent tool for finding data on existing customers within your org. I am not aware of a better competitor to Sigma

Incentivized

Hex.tech is an excellent tool for a product intelligence or product analytics team that wants to enable widespread use of available data for decision-making. It requires some SQL experience in many cases but makes it possible to go far without complex querying skills.

Incentivized

• Data Loads Quickly on DashBoards
• Filters for Data are Applicable
• Company and Date Searching is Useful

Incentivized

• Powerful interactive notebook environment
• Balances the need of code and non-code users
• Provides free and easy sharing to viewers of analyses across the company
• Responds promptly to support requests and needs
• High quality native charting capabilities

Incentivized

• Videos of How To / Quick Sigma Tips within the platform or via email
• Ability to Download Files Quicker
• Being able to export an xls with conditional formatting

Incentivized

• Limited support for R notebooks
• Limited sharing outside of the app (e.g., no slack integration)
• Some Python knowledge needed for highest levels of aggregations

Incentivized

The only other data platform we have tried or had experience with was Tableau which I personally felt was much more confusing and difficult to use for the everyday user. We have lots of people in sales, who have no background in data, and who need to be able to access the client's data on a day-to-day basis. Sigma makes this easy!

Incentivized

Hex.tech is the easiest to use, most enjoyable experience, most powerful environment, and most cost scalable of all the above.

Incentivized

• Ability to disuade churn for clients
• Showing clients ROI in QBRs
• Positive impact overall for us

Incentivized

• Increased visibility into analyses with free membership tier across company
• Increased capacity for self-service analytics among R&D stakeholders (e.g., product managers)
• Improved productivity of data science team with ease of use

Incentivized