Comparing Hex vs. Sigma

Choosing between Hex and Sigma? Leading companies choose Hex for AI analytics, to give business users and data teams one place for trusted answers on data.

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Trusted by leading data companies

"Our vision for Notion’s data team is that anyone, regardless of technical proficiency, is comfortable using data to answer their own questions – and Hex enables that."Aks Nemana
"We like to embed Hex dashboards where teams work."Ian Macomber
"We’re regarded as top performers because the work we are doing is deemed more credible and more widely surfaced than before Hex."Kate Urquiola
"Hex has helped us empower business analysts to explore and dig into data on their own"Meghana Reddy

Why companies choose Hex over Sigma

A first-class AI analytics platform

AI in Hex is focused on one thing: help everyone answer data questions with plain-language. Whether you're in Threads, a data app, a notebook, Hex's agents are built to reason deeply and deliver rich, trusted answers.

AI in Sigma is focused on operational workflows: taking actions, writing to the warehouse, and triggering external systems. Useful for that, but limited for simply answering questions with data.

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Comparison breakdown

Features

Hex

Sigma

Conversational AI

Plain-language Q&A with agentic reasoning

Hex

Threads can reason across questions, plan and run multiple queries, and join data from multiple tables and sources as needed.

Sigma

Sigma Assistant generates one query at a time and waits for you to refine. No agentic exploration, and joining datasets requires pre-built models.

Agentic code authoring

AI for writing, debugging, and iterating on code

Hex

Notebook Agent generates, debugs, and iterates on SQL and Python across multi-step logic.

Sigma

No agentic tooling for code generation or analysis building. SQL editing is manual.

AI for dashboards and apps

AI for asking questions about existing artifacts

Hex

@-mention published apps, dashboards, or notebooks to bring them into a Thread, or chat directly on any asset.

Sigma

Limited one-shot "explain this chart" summaries. No multi-turn conversation, no agentic exploration, no @-mentioning across assets.

AI modeling

AI-assisted modeling for curated, reusable metrics

Hex

AI modeling agent helps build and edit semantic models that can be used across notebooks, apps, and Threads.

Sigma

Modeling must be authored manually; no AI support for creation or editing.

Tools to manage and improve AI accuracy

In Hex, AI gets better with every interaction. Context Studio surfaces gaps and suggests context fixes, while every published app becomes reference-able context for AI.

Sigma has limited tooling for managing or improving context, and no means for existing artifacts to inform future answers.

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Comparison breakdown

Features

Hex

Sigma

AI observability tooling

Visibility into how AI is being used

Hex

Context Studio provides visibility into AI interactions across all surfaces, detailed summaries, and usage patterns across your team.

Sigma

Basic usage logs available. But overall, limited visibility into what AI is doing.

Context improvement tooling

Automated detection and recommendations

Hex

Context Studio flags missing context, identifies where AI is falling short, and recommends specific improvements.

Sigma

No means of surfacing missing context or recommendations for how to improve.

Compounding context

Existing dashboards and apps inform future answers

Hex

Published apps and dashboards are reference-able context. Agents pull from them automatically, or users @-mention them directly.

Sigma

No mechanism to reuse prior analyses or published dashboards as context for new questions.

Every workflow in one place

Hex is a single workspace where anyone can go from a quick question to a deep analysis without changing tools. No exports, no rebuilding logic. Business users and data teams can collaborate on the same work, in the same place.

Sigma's spreadsheet interface is capable for surface-level questions. But going deeper requires switching tools and fragmenting answers.

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Comparison breakdown

Features

Hex

Sigma

No-code exploration

Spreadsheets, pivots, drag-and-drop

Hex

Spreadsheet views, pivot tables, and drag-and-drop chart builders.

Sigma

Spreadsheet-style workbook with drag-and-drop, field pickers, and chart editor.

Data apps and dashboards

Interactive artifacts for sharing answers

Hex

Data apps include inputs, parameters, and pages that combine reporting, exploration, and live analysis in one artifact.

Sigma

Dashboards, AI Apps, and workbook controls (sliders, date pickers, parameters) for interactive analysis.

SQL + Python exploration

Multi-language analysis with seamless switching

Hex

Notebooks mix SQL, Python, and no-code cells interchangeably, keeping analyses clear, connected, and reproducible.

Sigma

Python is a warehouse-bound workbook element. No canvas for multi-step analysis or seamless switching between SQL, Python, and no-code.

Unify the full cycle of data work with Hex.

Leave disconnected workflows behind.

Compounding accuracy

Deep analysis

Trusted context

Conversational self-serve

Hear from data teams that chose Hex

Learn how the best companies in the world answer more questions with data using Hex.

"My favorite thing about Threads is that it writes out formulas for metrics and identifies any issues with the data."

"With Hex, we saved 240 hours by creating standardized product dashboard templates"

"Calendly's analytics team is 2x more efficient in Hex."

"Hex has helped ClickUp save more than $1M in churn"

View all Customer stories

FAQ

What's the main difference between Sigma and Hex?

Sigma is a spreadsheet-native BI tool; Hex is an AI-native analytics workspace built for both self-serve and advanced analysis.

Sigma gives business users a familiar spreadsheet interface, but it still requires them to navigate formulas, pivots, and workbook structure to self-serve. Hex lowers the bar with Threads, letting people ask questions in plain language. And if they want to explore hands-on, they can still use spreadsheets, pivots, and drag-and-drop interfaces.

At the same time, Hex lets data teams answer far more complex and nuanced questions. Agentic notebooks combine SQL, Python, and AI in one place, making deeper analysis, modeling, experimentation, and iteration much easier than what's possible in a spreadsheet-driven environment.

Together, this means Hex supports both more people using data and more types of questions answered with data. All in one connected workspace.

What can I do with Hex that I can't do in Sigma?

With Hex, you can:

Answer data questions in natural language with agents that reason across multiple queries, join data from any source, and write or debug SQL and Python.
Improve AI accuracy over time with Context Studio, which automatically surfaces gaps and suggests fixes, so the more you use Hex, the more accurate and capable it becomes.
Build data apps with live SQL and Python so stakeholders can explore forecasts, simulations, or custom logic in the same place where data teams build and iterate.

Isn't Hex mainly for data teams? What about non-technical users?

Hex is built to help data teams and non-technical users find more answers from data, faster. Non-technical users have quick, approachable ways to engage with data, interacting with curated data apps, exploring with no-code tools (spreadsheets, pivot tables, drag & drop) or asking questions in plain language through Threads.

Meanwhile, data teams have the full depth of SQL, Python, and AI for technical work. Because everyone works in the same workspace, stakeholders get answers faster and data teams don’t have to recreate analysis across multiple tools.

How is Hex different from traditional BI tools?

BI dashboards are built to show what happened—fixed KPIs and standard cuts of the data. Hex is built to answer how it happened, why it happened, and what if it changes. With data-team-first workflows in a notebook that supports SQL, Python, and no-code, teams can move quickly from simple KPI lookups to deep, iterative analysis, without bouncing between tools.

Why combine BI and technical data workflows in one tool?

Business questions come in all shapes and forms. Sometimes it’s a simple KPI trend, other times it’s “why is this happening?” or “what can we expect next?”, which requires deeper analysis. Splitting BI and technical analysis across different tools creates friction, duplicate effort, and inconsistent answers. Hex unifies it all in one place so the workflow stays connected.

Can you create dashboards in Hex?

Yes. Hex supports traditional dashboards, but also goes further, letting teams build interactive data apps, parameterized views, and even workflows with predictive models. That flexibility means you can cover executive reporting and deeper analysis in the same place, instead of maintaining separate tools.

Are there no-code ways for users to explore data in Hex?

Yes. Hex lets users self-serve insights with natural language Q&A, interactive charts, pivot tables, spreadsheet-style views, and simple formula-based calculations—all without writing SQL or Python.

Should I build semantic models in Hex?

Hex takes an interoperable approach to semantic models, giving you the flexibility to build directly in Hex or sync from other sources. Building in Hex lets you define and edit models right where you already work with data—with autocomplete, inline validation, and AI-assisted code generation in the modeling workbench.

Alternatively, you can sync existing semantic models from dbt, Snowflake, or Cube. Either way, your semantic models live alongside notebooks, self-serve, and agents, ensuring governed, reusable logic powers every workflow.

How can we start evaluating Hex?

Anyone can sign up for a free 14-day trial of Hex's Team plan. If you'll require more time to evaluate Hex or are curious about our Enterprise plan, please reach out and we'll get you set up!

Can't find your answer here? Get in touch.