Hex vs Tellius
Two Data & Analytics AI tools, side by side. Both are verified against their own live sites. Here is what each does well and who it is for, so you can choose what fits.
Hex
hex.tech
The AI analytics platform where trust meets insight
Best forData and analytics teams that want notebook-based exploration plus AI-assisted, governed self-serve analytics.
PricingFreemium, from $36 per editor per month · current pricing
What it doesHex combines data notebooks, interactive dashboards, and semantic models with an AI agent layer. Its Notebook Agent writes SQL, builds charts, and chains analyses from natural-language prompts, and conversational analytics can be used in Hex, Slack, or via MCP with answers grounded in semantic models.
Capabilities
Visit Hex →- Notebook Agent that writes SQL and builds charts from prompts
- Conversational analytics in Hex, Slack, or via MCP
- Generative data apps and dashboards from text prompts
- Context Studio and agent observability for governed answers
Tellius
www.tellius.com
The agentic analytics platform for enterprise data
Best forEnterprise teams in pharma, CPG, finance, and revenue operations wanting automated root-cause analysis and decision-ready outputs.
PricingFree trial · current pricing
What it doesTellius is an analytics platform that uses AI agents to automate data investigation and produce finished business insights. It supports natural-language questions, automated root-cause and driver analysis, and a Kaiya agent system that delivers proactive briefings and answers ad-hoc questions across connected data.
Capabilities
Visit Tellius →- Natural-language conversational analytics
- Automated root-cause and driver analysis
- Kaiya AI agents for proactive briefings and ad-hoc answers
- Board-ready memos and annotated analyses as outputs
How to choose
Choose Hex if you are data and analytics teams that want notebook-based exploration plus ai-assisted, governed self-serve analytics. Choose Tellius if you are enterprise teams in pharma, cpg, finance, and revenue operations wanting automated root-cause analysis and decision-ready outputs. Both sit in Data & Analytics; the right pick depends on your exact workflow and budget.
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