Equals vs Hex
A direct comparison of two data & analytics tools — what each does well, where each falls short, and which is the better fit depending on your situation.
Equals
Equals
AI-powered spreadsheets connected to your data
Hex
Hex Technologies
AI-powered data notebooks and apps
Feature Comparison
| Equals | Hex | |
|---|---|---|
| Company | Equals | Hex Technologies |
| Founded | 2021 | 2021 |
| Pricing | Free trial · Team from $25/user/mo | Free tier · Pro $24/user/mo · Team custom |
| Key features |
|
|
Equals
Pros
- +Familiar spreadsheet interface with direct live data connections
- +AI writes formulas and SQL queries from natural language descriptions
- +Eliminates manual CSV exports — always working with fresh data
- +AI explains what formulas and queries do in plain English
- +Version control and collaboration without the chaos of shared spreadsheets
Cons
- −Requires data connection setup — not a standalone tool for uploaded files
- −Less powerful for statistical analysis than dedicated analytics notebooks
- −Advanced formula AI requires some context about your data schema
- −Smaller ecosystem than Google Sheets or Excel
Hex
Pros
- +AI generates Python and SQL from natural language descriptions
- +Notebooks publish as shareable interactive apps for non-technical teams
- +Real-time team collaboration on the same notebook simultaneously
- +AI explains existing queries and code in plain English
- +Enterprise-grade data security and access controls
Cons
- −Requires some data familiarity to get full value — not fully no-code
- −More expensive than basic notebook tools for full team access
- −Publishing interactive apps requires configuration for complex analyses
- −Steeper setup for self-hosted or air-gapped data environments
Equals is best for
- Finance and ops teams who live in spreadsheets but need live data connections
- Analysts who want the familiarity of spreadsheets with direct database access
- Startups replacing manual CSV exports and fragile shared spreadsheet pipelines
Hex is best for
- Data teams whose analyses need to be shared with non-technical stakeholders
- Analysts who want AI to handle the SQL and Python while they focus on insight
- Companies wanting notebook-style work that can be published as interactive apps
Bottom line
Equals: The right choice for finance and ops teams who spend most of their time in spreadsheets but constantly work around the limitation of stale, manually exported data. Equals keeps every number live and connected to its source while preserving the familiar spreadsheet interface that these teams are already productive in.
Hex: The better choice when the output of analysis needs to be shared as an interactive app with non-technical stakeholders rather than kept as a notebook file. For data teams whose work often stays siloed because others cannot run or interpret notebooks, Hex's publish-to-app capability changes how widely the analysis is actually used.