Buying snapshot
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| Decision point | What Hex states |
|---|---|
Deployment | Community and Professional are multi-tenant. Team offers EU multi-tenant (contract only) or multi-tenant; Enterprise offers single, EU multi-tenant or multi-tenant. |
Where people work | Questions can be asked in Hex, Slack or via MCP; teams can work from Claude, Codex or Cursor using its data and context layer. Hex also has a public CLI repository. |
Data connections | Hex lists built-in connections to popular data warehouses, lakehouses and databases; Community includes connections to any data source. |
Compliance | Hex says it is audited annually for SOC 2 Type II and HIPAA compliance. HIPAA is listed as an Enterprise add-on. |
Support (9am-5pm PT, Monday to Friday) | Community and Professional list email. Team lists email and an in-product messenger with priority SLA; Enterprise adds Slack and Microsoft Teams with Enterprise SLA. Marked channels may not be offered in all cases. |
Our take
Hex is a fit when a team wants self-service questions and deeper analysis to share curated context, and can maintain that context over time. If scheduled runs and alerts are required, evaluate Team; Enterprise is relevant when OIDC SSO, audit logging or OAuth database connections are requirements.
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Popular comparisons
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Where it stands out
Shared handoff. Hex says a business user can ask without SQL, Python or a data-team ticket, while a practitioner can continue the same workflow for deeper investigation.
Context and evaluation workflow. Its context engine combines database descriptions, semantic models, business rules and analytical logic; Context Studio and built-in evals support inspection and testing before production.
Model oversight. Hex lists model choice, token-spend observability by person and project, and eval sweeps for price and quality trade-offs.
Product screenshot
Trade-offs to weigh
Custom environments are an Enterprise add-on. Community, Professional and Team list standard Python libraries; Enterprise lists custom Docker image add-ons.
AI use has a second cost driver. AI features consume credits based on task effort. Paid plans include grants and optional add-on credits; Professional and Team grants refresh monthly without rollover, while Enterprise grants follow the order form.
Pricing and plan conditions
Professional and Team are billed per Editor per month. Compute profiles are billed per minute of usage at their listed hourly rates. Team and Enterprise can opt in to pay-as-you-go compute for advanced data science use cases. Medium compute is included on paid plans, and trials are limited to Medium compute.
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| Plan | Published price | What the plan includes |
|---|---|---|
Community | Free | Hex agent trial; connections to any data source; all cell types; Small compute; limited credits; up to 5 published apps; 7-day version history. |
Professional | $36 per Editor / month | Community features plus Hex agent, Standard credits, up to 5 published apps, 30-day version history, up to 3 shared collections and components, and Medium compute. |
Team | $75 per Editor / month | Professional features plus Extended credits, unlimited published apps and version history, visual exploration and drill down, scheduled runs and alerts, unlimited shared components and collections, and advanced compute add-ons. |
Enterprise | Custom | Team features plus Explorer seat add-on, audit logs, Premium credits, OAuth database connections, Observability API, OIDC SSO, BYOK, dedicated support, and single-tenant, HIPAA, embedded analytics and custom Docker image add-ons. |
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| Profile | Memory and CPU | Price per hour |
|---|---|---|
Extra small | 2 GB, 0.25 CPU | Free |
Small | 4 GB, 0.5 CPU | Free |
Medium | 8 GB, 1 CPU | Free |
Large | 16 GB, 2 CPU | $0.32 |
Extra large | 32 GB, 4 CPU | $0.65 |
2XL | 64 GB, 8 CPU | $1.29 |
4XL | 128 GB, 16 CPU | $2.58 |
A10G GPU | 27 GB, 6 CPU | $4.06 |
L4 GPU | 27 GB, 6 CPU | $2.93 |
Hex offers a 14-day Team trial with no payment card; if no paid plan is selected, it downgrades to Community and premium features are removed. Professional and Team changes apply immediately with a charge or credit for the remainder of the billing cycle, while cancellation retains access through that period. Enterprise renewals and cancellations go through an account representative. Students and educators at universities and bootcamps can access Professional free; qualified non-profits can apply for a discounted program.
Public signals
About these signals
Verified factual signals from public sources. They indicate observable activity or interest, not total adoption, product quality, or cost.
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Alternatives to Hex
The reviewed substitutes for Hex among the analytics notebooks, and what would make each one the better answer.
Direct alternatives
Reviewed substitutes: products bought for the same job, where a team picks one.
- Mode Analytics
- Mode Analytics and Hex are workspaces where data teams query with SQL and Python, chart the results and publish them to the business. Hex adds AI-assisted analysis, no-code cells and data apps, while Mode centres on SQL reports and dashboards for business readers.Applies to: Choosing the workspace where analysts write SQL and Python and share the results.
Other approaches
A different approach to the same problem. Each substitutes only for the workload named beside it.
- Metabase
- Metabase and Hex each give a team a way to query the warehouse and share what it finds. Metabase is open-source BI built around dashboards and a simple question builder, so people without SQL can read and filter results. Hex is a commercial notebook workspace for SQL and Python with AI help, a better fit when the work is exploration written up as a data app.Applies to: Whether analysis is delivered as governed dashboards or as exploratory notebooks.
- Apache Superset
- Apache Superset and Hex can each be the place where a team queries warehouse data and shares charts. Superset is an open-source dashboard platform that the team hosts and runs itself, with a SQL editor and a wide chart library. Hex is a managed, commercial notebook platform for SQL and Python analysis and data apps, so the stack decides between self-hosted dashboards and hosted notebooks.Applies to: Deciding how the stack is shaped, where both products can be part of the answer.
- Looker
- Business questions asked of the warehouse can be answered in Looker or in Hex. Looker puts the answers in governed dashboards that read from one LookML model, so a wide audience sees the same numbers. Hex is an AI analytics notebook mixing SQL, Python and no-code cells that turns results into data apps, which suits deeper exploratory work.Applies to: Whether analysis is delivered as governed dashboards or as exploratory notebooks.
- Tableau
- To explore data and share findings, a company can work in Tableau or in Hex. Tableau delivers drag-and-drop visual analytics and polished interactive dashboards for a wide business audience. Hex is a notebook-style AI analytics platform where data teams mix SQL, Python and no-code steps, so it suits exploratory analysis more than governed dashboards.Applies to: Whether analysis is delivered as governed dashboards or as exploratory notebooks.
See detailed alternatives analysis
If you are evaluating Hex alternatives, you are likely looking for a platform that balances collaborative notebook-style analytics, AI-assisted data exploration, and polished data app delivery. Hex occupies a unique position as an AI analytics platform combining agentic data notebooks, conversational self-serve analytics, and shareable data apps. However, depending on your team's technical depth, budget constraints, or architectural preferences, several strong alternatives may serve you better.
Top Alternatives Overview
The Hex alternatives landscape spans from open-source BI tools to enterprise-grade analytics platforms, each with distinct strengths.
Metabase is the most popular open-source BI tool, with over 48,000 GitHub stars and active development. It offers a visual query builder that lets non-technical users explore data without SQL, alongside a full SQL editor for power users. Metabase connects to 20+ data sources and supports both self-hosted and cloud deployments, including embedded analytics via iframe or React SDK. Its cloud Starter plan is $100/month and Pro runs $575/month, while the open-source edition is entirely free to self-host.
Sigma Computing takes a spreadsheet-first approach to cloud analytics. It compiles spreadsheet actions into warehouse-optimized SQL, allowing business users comfortable with Excel to analyze billions of rows without learning a new paradigm. Sigma runs live queries against your cloud data warehouse with no data extracts required, keeping governance at the warehouse boundary. Sigma holds an 8.2/10 rating across 297 reviews and has been recognized in the 2025 Gartner Magic Quadrant for Analytics and BI.
Lightdash is an open-source, AI-native BI platform purpose-built for dbt users, with over 5,500 GitHub stars. It connects directly to your dbt project, so your metrics layer stays defined in code. Lightdash emphasizes BI-as-code workflows with preview environments, CLI tools, and version control integration. Its Cloud Pro plan is $3,000/month with no per-seat pricing and unlimited users.
Power BI brings deep Microsoft ecosystem integration and is a natural fit for organizations already invested in Azure and Microsoft 365. Pro licenses run $14/month per user and Premium licenses $24/month per user, making it one of the most cost-accessible BI platforms available.
Evidence is an open-source, code-based BI tool where you build reports using SQL and Markdown rather than drag-and-drop interfaces. It appeals to data teams that prefer writing code to clicking through a GUI and want version-controlled, automated reporting. Its Team plan is $2,500 per month, billed monthly, for unlimited users, and Enterprise is quote-only.
Cube provides a semantic layer foundation that AI agents can query to deliver accurate, hallucination-free analytics. It is open-source at its core and designed to sit between your data warehouse and any BI front-end. Pricing requires contacting sales.
Amplitude focuses specifically on digital product analytics, offering event-based tracking and experimentation tools. It serves a different use case from general-purpose BI, targeting product teams that need behavioral cohort analysis and A/B testing. A Free plan of 2M events a month is available, with Plus starting at $0 and scaling with event volume.
GoodData is an embedded analytics platform with an 8.9/10 rating across 237 reviews, built for SaaS companies that need to deliver white-label dashboards and analytics to their own customers through an API-first architecture.
Architecture and Approach Comparison
Hex's architecture centers on collaborative notebooks that support SQL, Python, and AI-powered cells in a single workspace. This multi-modal approach lets data teams blend code-based analysis with point-and-click visualization and then publish the result as a shareable data app. The built-in notebook agent can generate charts, break down data by dimensions, and iterate on analysis through conversation. Hex also offers a conversational self-serve mode where business users can ask plain-language questions and receive answers grounded in endorsed semantic models.
Metabase takes a fundamentally different approach. Rather than notebooks, it provides a structured query builder and dashboard layer on top of your database. There is no Python execution environment, and the workflow is oriented around creating reusable questions and dashboards rather than exploratory notebooks. Metabase includes Metabot AI for natural language querying and a Data Studio workbench for curating semantic layers.
Sigma Computing's warehouse-native architecture is distinctive because every user interaction compiles into SQL that runs directly in your cloud data warehouse. There is no separate data store or extract layer. Your existing warehouse security policies, row-level access controls, and audit logs apply automatically. The hybrid query engine evaluates the fastest execution path by starting in the browser cache, then escalating through query ID caching, and only hitting the warehouse when necessary.
Lightdash's dbt-native design means your semantic layer lives in your dbt project files, not in a separate BI tool. Changes to metrics go through the same pull request and CI/CD workflow as your data transformations. This code-first philosophy extends to AI capabilities, where agents query the governed semantic layer rather than raw tables.
Evidence embraces code-based analytics but outputs static reports generated from SQL and Markdown files, making it excellent for automated, version-controlled reporting but less suited for interactive exploration. Power BI offers a hybrid model with Power Query for data transformation, DAX for calculations, and a rich drag-and-drop visualization layer tightly integrated with Azure services.
Pricing Comparison
Hex uses a usage-based pricing model with per-seat and compute components. Professional is $36 per editor per month and Team is $75 per editor per month. Extra Small through Medium compute is included free; larger profiles bill per hour, from $0.32 for Large to $4.06 for an A10G GPU.
Metabase offers an open-source self-hosted edition at no cost. Cloud plans include a Starter tier at $100/month and a Pro tier at $575/month. An Enterprise tier with priority support and advanced security is available with per-seat pricing.
Lightdash provides a free self-hosted open-source edition. Its Cloud Pro plan runs $3,000/month with no per-seat pricing and unlimited users, which can be cost-effective for sizable organizations.
Sigma Computing publishes no prices; every plan is quoted by its sales team. Sigma differentiates between Creator, Explorer, and Viewer license types, which affects cost depending on your team's mix.
Power BI offers Pro licenses at $14/month per user and Premium licenses at $24/month per user, making it among the most affordable options for organizations with many users.
Evidence's Team plan is $2,500 per month, billed monthly, for unlimited users, with a 30-day trial; Enterprise is quote-only. Cube, GoodData, and Alteryx all use enterprise pricing models where you need to contact sales for quotes. Amplitude offers a Free plan with 2M events a month, and a Plus plan that starts at $0 and scales with event volume.
When to Consider Switching
Consider switching from Hex when your primary need is straightforward dashboarding rather than notebook-based exploration. If most of your stakeholders consume dashboards rather than building analyses, a tool like Metabase, Sigma Computing, or Power BI will serve them more naturally without the overhead of a notebook paradigm.
Teams deeply invested in dbt should evaluate Lightdash, which treats your dbt project as the single source of truth for metrics. This eliminates the need to redefine business logic in your BI tool and keeps your analytics layer version-controlled alongside your transformations.
If your organization prioritizes self-hosting and full data sovereignty, Metabase's open-source edition or Evidence gives you complete control over your analytics infrastructure without vendor lock-in. Lightdash also offers a self-hosted open-source option.
For organizations where most users are comfortable with spreadsheets rather than notebooks or SQL, Sigma Computing's familiar interface can dramatically reduce the adoption barrier. Business users can analyze warehouse-scale data using the skills they already have.
Budget-conscious teams in the Microsoft ecosystem will find Power BI hard to beat on per-user cost, especially when Azure and Microsoft 365 integration is a priority. And if your core need is product analytics with event tracking and experimentation rather than general BI, Amplitude is purpose-built for that workflow.
Migration Considerations
Migrating from Hex involves several key steps. First, audit your existing notebooks and data apps to understand which are actively used and by whom. Hex notebooks that combine SQL, Python, and visualization will require the most effort to recreate, since few alternatives support all three in a single environment.
SQL-heavy notebooks translate most easily to other platforms. Metabase, Sigma Computing, and Lightdash all support SQL queries natively. Python-dependent notebooks may require restructuring your workflow to separate data transformation (handled by dbt or your warehouse) from visualization (handled by your new BI tool).
Data connections generally transfer smoothly since most alternatives connect to the same cloud data warehouses. Review your Hex compute profiles and usage patterns to estimate costs on the new platform, particularly if moving from usage-based to per-seat pricing or vice versa.
Shared data apps built in Hex will need to be rebuilt as dashboards or embedded analytics in your target platform. Plan for a transition period where both tools run in parallel, and prioritize migrating high-traffic apps first. User permissions and access controls should be mapped to the new platform's model, paying special attention to row-level and column-level security if your organization relies on these features. For Lightdash specifically, factor in the effort of building or extending a dbt project if you do not already have one in place.