Comparing Hex vs. Omni

Choosing between Hex and Omni? Modern data teams choose Hex to power faster, deeper insights with AI.

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."Abhishek Modi, Software Engineer
"We like to embed Hex dashboards where teams work."Ian Macomber, Head of Data and Analytics Engineering
"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, Director, Go-to-Market Analytics
"Hex has helped us empower business analysts to explore and dig into data on their own"Meghana Reddy, Head of Data at Stubhub

Why companies choose Hex over Omni

Power agentic capabilities for every workflow

Hex's Notebook agent helps data teams build analyses, while Threads lets business users ask questions, get detailed answers, and iterate through follow-ups.

In Omni, AI is constrained to surface-level questions and one-shot answers. Fine for what happened, but limited for iteration or deeper analysis.

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Comparison breakdown

Features

Hex

Omni

AI for analysis

Code generation, debugging, and multi-step reasoning

Hex

Notebook Agent assists with writing and refining SQL, Python, and charts; reasons through multi-step logic and debugging.

Omni

No AI support for code generation, debugging, or building analyses.

AI for business users

Natural language querying with context retention

Hex

Threads enables multi-turn reasoning and context retention across live data conversations.

Omni

Chat-based exploration allows for single-shot questions; Limited for multi-step reasoning.

AI for modeling

Build semantic resources using natural language

Hex

Modeling agent builds and updates semantic models from natural language.

Omni

No AI assistance for model authoring; modeling is fully manual.

Build interactive data apps, not just dashboards

Hex makes complex analyses, like forecasts and what-if scenarios, shareable as live, interactive data apps, so end stakeholders can interact with data and explore data insights.

Like most BI tools, Omni centers work around static dashboards. Good for KPIs, but limited for scaling deeper analysis or interactivity.

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Comparison breakdown

Features

Hex

Omni

Interactive apps

Dynamic exploration beyond dashboards

Hex

Data apps include inputs and controls, like dropdowns, sliders, and date pickers, for truly interactive analysis.

Omni

Dashboards are static, with limited filtering and no interactivity.

Live analytical logic

Computation and modeling built in

Hex

Data apps run live Python and SQL logic, enabling forecasting, what-if scenarios, and other advanced analyses directly in the app.

Omni

Dashboards show static results with no computation or modeling.

Reporting dashboards

Standard KPI and metric tracking

Hex

Create dashboards and visualizations using no-code charts or Python libraries.

Omni

Create dashboards with customizable Vega-Lite charts.

Go beyond the boundaries of the model

Hex gives analysts freedom to explore, combining SQL, Python, and no-code in Agentic notebooks to prototype, test, and promote ideas back into governed models.

Similar to Looker, Omni locks analysis inside a proprietary modeling layer, limiting exploration to predefined data.

Compare features

Comparison breakdown

Features

Hex

Omni

Semantic model interoperability

Work with models from any source

Hex

Turnkey integration with Snowflake Semantic Views, dbt Metric Flow, and Cube—connect, sync, and explore instantly.

Omni

Only offers sync with Snowflake Semantic Views.

Ad hoc exploration

Flexible, multi-language analysis

Hex

Mix SQL, Python, and no-code interchangeably for rapid, frontier analytics.

Omni

Limited to SQL against pre-modeled data.

AI model authoring

AI-assisted modeling with project context

Hex

Reference projects for the Modeling agent to bootstrap new semantic models.

Omni

Models must be written and maintained manually.

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 increase team efficiency using Hex.

"OM1 uses Hex to work with constantly evolving, massive datasets and to provide a user-friendly, dynamic data application."

"Hex has helped us empower business analysts to explore and dig into data on their own"

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

"We're amazed at how useful Hex has been for the needs of a data science team while also being easy to use for our product engineering teams."

View all Customer stories

FAQ

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

Hex gives business users approachable ways to engage with data, like interactive apps and natural-language queries, while still offering the depth analysts need for technical work. Both groups share the same workspace, which means stakeholders get answers faster and data teams don’t have to rework 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.