Hex records 782,737 monthly visits with +10.8% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing, Free pricing. Maxim AI records 121,351 monthly visits with +10% growth and Contact for Pricing, Free Open Source pricing.
An agentic analytics platform that turns questions into governed, trusted answers
Evaluate, monitor, and govern your AI applications in production
| Dimension / Metric | | |
|---|---|---|
| Official Domain | hex.tech | getmaxim.ai |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing, Free | Contact for Pricing, Free Open Source |
| Monthly Visits | 782.74K (782,737) | 121.35K (121,351) |
| MoM Traffic Delta | +76.58K (+10.8%) | +11.07K (+10%) |
| Primary Market & Share | 🇺🇸 United States (64.1%) | 🇮🇳 India (25.9%) |
| Direct Visits / mo | 621.75K | 38.31K |
| User Rating | 4.7 | 4.3 |
| Supported Platforms | Website | Website |
An agentic analytics platform that turns questions into governed, trusted answers
Ask a question in plain language and get a reasoned answer with the SQL, charts and tables behind it, available in the Hex workspace, in Slack and from developer tools.
Write SQL, Python and R side by side in one project, then turn cells into interactive, parameterised data apps and dashboards without a separate BI authoring tool.
Centralise metrics, semantics and corporate definitions so answers stay consistent, and see exactly where the agent lacked grounding so you can fix it.
Run graded, rubric-based test suites against the agent to measure answer quality and catch regressions as your data and context evolve.
Evaluate, monitor, and govern your AI applications in production
Trace, test, and evaluate prompts and agents with datasets, experiments, and structured scoring.
Built-in dashboards and OpenTelemetry support give real-time insight into every AI request in production.
Model simulation and agent testing let you validate behavior before and after deployment.
Bifrost provides a unified, OpenAI-compatible API with routing, fallbacks, budgets, and semantic caching.
Faster for ad hoc statistical analysis and data visualization from natural language, but lacks Hex's robust notebook workflows.
Faster for ad hoc statistical analysis and data visualization from natural language, but lacks Hex's robust notebook workflows.
Track, evaluate, and ship AI models and agents in one connected environment.
Track, evaluate, and ship AI models and agents in one connected environment.
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
SpecialistOffers a spreadsheet-based interface with live data and Python execution, but lacks Hex's structured data app builder.
SpecialistOffers a spreadsheet-based interface with live data and Python execution, but lacks Hex's structured data app builder.
The collaboration layer for AI engineering teams
The collaboration layer for AI engineering teams
Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org
Simpler plain-English querying and dashboard generation for databases, but lacks Hex's advanced polyglot notebook environment.
Simpler plain-English querying and dashboard generation for databases, but lacks Hex's advanced polyglot notebook environment.
AI governance, testing, and observability for regulated enterprises
AI governance, testing, and observability for regulated enterprises
Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents
Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents
The control plane for trusted enterprise agents and models
The control plane for trusted enterprise agents and models
Find and fix problems in your AI agents before users do
Find and fix problems in your AI agents before users do
