Hex
Collaborative notebook-style data workspace with AI-assisted SQL/Python and shareable interactive reports.
Our take
A modern, collaborative notebook for SQL/Python analysis with AI assistance, ideal for teams that want shareable interactive reports.
Best for
Data teams that write SQL/Python and want an AI-assisted, collaborative notebook with polished shareable outputs.
Pros
- AI assistant helps write and debug SQL/Python in notebooks
- Notebooks can be published as interactive apps/dashboards
- Strong collaboration features for data teams
Cons
- Starts at $36/editor/month - pricier than no-code alternatives
- Best suited to users comfortable with code, unlike Julius AI or Polymer
How it compares
More code-centric and collaborative than Julius AI, positioned closer to Deepnote for data science teams.
Full review
Hex is a collaborative data science and analytics platform combining notebooks (Python/SQL), no-code data exploration, and shareable interactive apps/dashboards — with AI features (Hex Magic) that can generate code, SQL queries, and explanations from natural-language prompts within notebooks.
Its notebook-plus-app model lets data teams write analysis code collaboratively (like a more polished, team-friendly Jupyter notebook) and then publish that analysis as an interactive app for non-technical stakeholders to explore — with AI assistance speeding up the code-writing and querying steps for both technical and semi-technical users.
Hex has a free tier for individuals and small projects, with paid plans for team collaboration and larger workspaces. For data teams that want a collaborative, notebook-based workflow with AI-assisted querying that can also produce shareable dashboards for non-technical users, Hex sits between a pure coding tool and a no-code BI platform.
Cloudkart Rubric
3.6/5 avg- Actual Utility4/5
- Ease of Use4/5
- Pricing Fairness3/5
- Reliability4/5
- Differentiation3/5