Data Querying & Search

Hex with Magic AI

Collaborative analytics workspace combining SQL, Python, and no-code cells, with Magic AI assisting query writing, debugging, and analysis.

What it does

Hex is a collaborative workspace for data teams that blends notebooks, SQL editors, and app building in one environment. Analysts and data scientists work in projects made of SQL, Python, and no-code cells connected in a dependency graph, then publish results as interactive apps and dashboards that stakeholders can use without seeing the underlying code.

Magic is Hex’s AI layer. It helps write and fix SQL and Python, generates charts, explains existing code, and can take a plain-language prompt and draft the steps of an analysis. Because Magic works against connected warehouses and the project’s actual schema and context, it functions as an in-flow assistant for practitioners rather than a chat toy.

Hex sits between pure BI tools and traditional notebooks. It is a strong choice for data teams who want AI-accelerated ad hoc analysis that can be shared cleanly, but it assumes technical users at the core. Companies wanting business users to self-serve dashboards without a data team in the loop are better served by a conventional BI platform.

Key features

  • Notebook-style projects mixing SQL, Python, and no-code cells
  • Magic AI for writing, fixing, and explaining queries and code
  • Publishable interactive data apps and dashboards
  • Native connections to major cloud warehouses
  • Reactive dependency graph keeping outputs in sync
  • Real-time collaboration, comments, and version history
  • Scheduled runs and sharing controls

What teams use it for

The concrete work teams hand to Hex with Magic AI.

  1. AI-assisted ad hoc analysis by data analysts and scientists
  2. Turning notebook analyses into shareable interactive apps
  3. Standardizing how a data team explores warehouse data
  4. Collaborative deep dives that mix SQL and Python
  5. Lightweight internal data tools without separate app development

Where it fits

Good fit if

Data teams with SQL and Python skills who want AI-assisted analysis and a clean way to share results with stakeholders.

Limitations

Non-technical teams wanting drag-and-drop dashboards, or organizations looking for a traditional governed BI standard for thousands of viewers.

Pricing

Free tier for individuals and small teams; paid plans per seat with enterprise plans quote-based.

Common integrations

Snowflake Google BigQuery Databricks Amazon Redshift PostgreSQL dbt GitHub Slack

Categories and tags

Industries Cross-industry
Use cases Dashboards & reporting Data visualization Natural language querying Self-service analytics
Capabilities Analytics & BI Conversational AI Generative AI & LLMs
Buyer roles Data & analytics Product & engineering
Company size Enterprise Mid-market Startup

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This profile was compiled from public sources with AI assistance and reviewed by a BetterBuys editor. Last verified on June 10, 2026. How we research profiles.

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