OlympHill
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HexCollaborative data workspace with built-in AI for analytics and reporting.

4.2 (6)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated May 2026
Data AnalyticsCollaborationAI AssistantBusiness IntelligenceSQLPythonDashboardsCloud

Overview

Hex is a cloud-based data platform that combines SQL, Python, no-code tools, and AI assistance in a single collaborative workspace. Teams can connect to their data warehouses, explore datasets, build interactive notebooks, and publish polished dashboards or data apps. Its AI features, branded as Magic, help users write queries, generate charts, debug code, and turn natural-language questions into analyses. This makes Hex useful for both technical analysts who want to move faster and business users who need self-serve answers without deep SQL knowledge. Hex is typically adopted by data teams looking to centralize exploratory analysis, internal reporting, and AI-driven data exploration in one shared environment.

Key features

  • Magic AI for natural-language data queries
  • Collaborative multiplayer notebooks
  • SQL and Python in the same workflow
  • Interactive dashboards and data apps
  • Integrations with major data warehouses
  • Version control and scheduled runs

Pricing

Model
Free
Category
Data science
Rating
4.2 / 5 (6)

Use cases

Natural-language data exploration

Business users ask questions in plain English and Hex's Magic AI generates SQL queries and charts, enabling self-serve analytics without deep technical skills.

Collaborative analyst notebooks

Data teams work together in multiplayer notebooks combining SQL and Python, speeding up exploratory analysis with AI-assisted query writing and debugging.

Internal reporting dashboards

Analysts build and publish interactive dashboards and data apps connected to the company's warehouse, with scheduled runs to keep stakeholders updated.

Centralized data workspace

Organizations consolidate ad-hoc analysis, reporting, and AI-driven exploration into one platform with version control and warehouse integrations.

Pros & Cons

Pros

  • Combines SQL, Python, and no-code in one notebook
  • AI assistance speeds up queries and analysis
  • Strong collaboration and sharing features
  • Polished dashboards and data apps out of the box

Cons

  • Requires a connected data warehouse to shine
  • Pricing can scale up for larger teams
  • Learning curve for non-technical users despite AI help

Battle record

Across 1 battle in the Pantheon.

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Last battle

Reviews

4.2

Average from 6 ratings.

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SG

Sanjay Gupta

Mar 16, 2026

Solid for our team

We rolled this out across the team last quarter and polished dashboards and data apps out of the box. SQL and Python in the same workflow fits neatly into how we already work, and interactive dashboards and data apps removed a step we used to do by hand. Learning curve for non-technical users despite AI help, which is the main caveat, but it has held up under daily use.

WC

Wei Chen

Mar 5, 2026

Solid for our team

We rolled this out across the team last quarter and aI assistance speeds up queries and analysis. SQL and Python in the same workflow fits neatly into how we already work, and magic AI for natural-language data queries removed a step we used to do by hand. but it has held up under daily use.

CL

Camille Laurent

Oct 12, 2025

Solid for our team

We rolled this out across the team last quarter and aI assistance speeds up queries and analysis. Magic AI for natural-language data queries fits neatly into how we already work, and magic AI for natural-language data queries removed a step we used to do by hand. Pricing can scale up for larger teams, which is the main caveat, but it has held up under daily use.

Robert Ainsworth

Robert Ainsworth

Jun 29, 2025

Does the job

Pretty happy overall. Integrations with major data warehouses just works and combines SQL, Python, and no-code in one notebook. Learning curve for non-technical users despite AI help can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Naomi Suzuki

Naomi Suzuki

Jun 23, 2025

Use it every day

Honestly didn't expect to like it this much. SQL and Python in the same workflow is exactly what I needed, and combines SQL, Python, and no-code in one notebook. I do wish pricing can scale up for larger teams, but I reach for it almost every day now and it just clicks.

AK

Aisha Khan

Jun 17, 2025

Does the job

Pretty happy overall. Integrations with major data warehouses just works and aI assistance speeds up queries and analysis. Requires a connected data warehouse to shine can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Q&A

What is Hex?

Hex is the AI Analytics Platform where trust meets insight: a single, connected workspace where data practitioners run deep analysis, business users ask questions in plain language, and everyone collaborates on the same data. A shared context engine ensures every AI-generated insight is accurate and consistent.

Asked by Renata Silva · Jun 7, 2026

What is an AI Analytics Platform?

An AI Analytics Platform combines three capabilities in one connected system: AI agents for deep analysis, conversational self-serve so anyone can ask questions in plain language, and trusted data apps for sharing insights. The platform part is what matters: everything runs on shared context, so every answer is consistent and trustworthy, whether it comes from an analyst's notebook or a business user's question.

Asked by Yuki Kobayashi · Jun 4, 2026

Who uses Hex?

Hex allows anyone to get answers from data with AI. Whether you’re a member of the data team running code-based experiments or a business user looking to self-serve a one-off question, Hex provides tailored AI-workflows for you to find answers from data, faster.

Asked by Adaeze Uche · May 25, 2026

Why do data teams switch to Hex?

Data teams switch to Hex because it gives them one connected, AI-native workspace for everything they do with data. Deep analysis, one-off questions, and critical business dashboards all happen on the same trusted context. Instead of juggling separate notebooks, BI tools, and ad-hoc Slack requests, Hex brings data work & AI together in one place.

Asked by Aisha Khan · May 23, 2026

Can business users access data without knowing SQL or Python?

Yes. Hex lets anyone ask questions in plain language in Hex, Slack, or via MCP and get AI-generated analysis backed by your actual data, metrics, and business rules. No SQL, no Python, no ticket to the data team. And when a question needs deeper investigation, a data practitioner can jump directly into the same workflow without switching context.

Asked by Halima Bello · May 22, 2026

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