Hex alternative
A Hex alternative for teams that want AI analytics beyond the notebook. canTrust answers in plain language across every source, with per-user RBAC, PII masking, and human-approved writes.
- Hex
- Alternative
- AI data analysis
- Data governance
Evaluating Hex (Collaborative analytics notebooks for data teams) and weighing whether canTrust is the right alternative? This guide is an honest, side-by-side comparison: what Hex does well, where it can stop short for a data team, and exactly when canTrust is the better fit. In short, canTrust is a governed AI data studio— your whole team asks in plain language across every source, while every query runs SELECT-only, under each user's permissions, with PII excluded before it reaches the model.
What is Hex?
Hex is a collaborative notebook platform for data teams that blends SQL, Python, and AI assistance (Hex Magic) into shareable, interactive data apps.
Hex is best for: Technical analytics and data-science teams who write SQL and Python and want a polished, collaborative notebook with AI assistance and app-style sharing.
Where Hex is strong
- Best-in-class notebook experience for people who code
- Strong collaboration, versioning, and data-app publishing
- AI assists experienced analysts inside a powerful SQL/Python canvas
Where it can fall short for a data team
- Assumes technical users — non-technical teammates can't self-serve safely
- AI is an assistant inside a notebook, not a governed agent that enforces per-user access on every query
- Governance and PII handling are largely your responsibility to wire up
canTrust vs Hex: side by side
The clearest way to see the difference is dimension by dimension. Hex and canTrust often overlap on the surface — both let you ask questions in natural language — but they diverge on governance, source coverage, and how much you can trust and reproduce an answer.
| Dimension | Hex | canTrust |
|---|---|---|
| Best for | Technical analytics / data-science teams who live in SQL and Python notebooks. | Whole data teams — from data engineers to executives — who need governed answers across every source. |
| Data sources | Connects to warehouses and databases; querying is notebook-driven by people who write code. | Cross-source: Snowflake, BigQuery, Databricks, Postgres, MySQL, SQL Server, Vertica, Supabase, plus CSV/Excel/JSON, Drive, SharePoint, Slack, and Google Ads/Analytics — queried together. |
| Per-user governance | Permissions are workspace/notebook-level; per-query PII governance is largely DIY. | Inherits each user's RBAC, so it only reads what the asker can; columns classified restricted or PII are excluded before the model sees them; every action is audited. |
| Answer transparency | Full code is visible because you wrote it — great for coders, opaque for non-technical stakeholders. | A Glass Box reasoning trace plus the exact SQL behind every number; dashboards and reports are reproducible recipes that re-run to the same result. |
| Writes & automation | A notebook can run whatever code its author writes; no built-in human-approval gate on writes. | Reads are strictly SELECT-only. Any write or DDL is surfaced as an exact statement and held for explicit human approval before it touches your data. |
| Deployment & models | Cloud SaaS (with enterprise options) on its AI providers. | Cloud or self-hosted / on-prem for data sovereignty; provider-agnostic models — open-weight by default, frontier on demand. |
Why teams choose canTrust as a Hex alternative
The throughline of every reason below is the same: canTrust is the governance layer between AI and your data. It is designed so that giving your team agentic analysis never means giving up control of what the AI can see, run, or change.
- A governed agent the whole team can use in plain language — not a notebook that assumes you write SQL
- Per-user RBAC and PII exclusion enforced on every query, automatically
- SELECT-only by default with human-approved writes, so business users can self-serve safely
Governed by default, not bolted on
Reads are strictly SELECT-only — never an UPDATE, DELETE, or schema change. canTrust inherits the permissions of the person asking, so it can only read what that user could read, and any column classified as restricted or PII is excluded before it ever reaches the model. When a task would require a write, canTrust surfaces the exact statement and holds it for explicit human approval. Every action is audited.
One agent across every source
canTrust queries Snowflake, BigQuery, Databricks, Postgres, MySQL, SQL Server, Vertica, and Supabase, plus CSV/Excel/JSON files, Google Drive, SharePoint, Slack, and Google Ads and Analytics — and it can join across them in a single question. Answers aren't locked to one warehouse, one BI model, or one LLM vendor.
Answers you can verify and reproduce
Every answer ships with a Glass Box reasoning trace and the exact SQL behind each number, so you can catch a wrong turn early. Dashboards and reports are saved as recipes that re-run to the same result — useful when an answer has to stand up to scrutiny.
Should you switch from Hex to canTrust?
Stay with Hex if: Technical analytics and data-science teams who write SQL and Python and want a polished, collaborative notebook with AI assistance and app-style sharing.
Switch to canTrust if: you need governed, cross-source AI analysis your whole team — technical and non-technical — can use safely. That means per-user access control and PII masking on every query, reads that can never write, writes held for human approval, a visible reasoning trace, and reproducible dashboards and reports across all your sources.
Frequently asked questions
Is canTrust a good Hex alternative?
If you want AI analytics that the whole team — not just SQL/Python users — can use safely, canTrust is a strong Hex alternative. Hex is a superb notebook for people who code; canTrust is a governed agent that answers in plain language, enforces each user's RBAC and PII rules on every query, and keeps writes behind human approval.
Does canTrust replace notebooks?
canTrust includes notebooks with an isolated Python sandbox for when you need code, but most questions never require one — you ask in plain language and get a governed answer with the SQL shown. Teams that want a code-first collaborative notebook as their primary surface may still prefer Hex.
Try canTrust on your own data
The fastest way to compare canTrust and Hex is on your own data. The Free plan includes monthly credits and a data source with no card required, under the same governance as every paid plan. Or read the Quickstart to see how to connect a source and ask your first question in minutes.