Hex vs Mode

Hex is an analytics workspace that combines agentic notebooks, conversational self-serve, and publishable data apps. Data practitioners write SQL and Python in notebooks with an AI agent that builds queries and charts, while business users ask plain-language questions through Threads in Hex, Slack, or MCP. Every answer draws from the same shared context layer of semantic models, business rules, and endorsed tables.

Traditional BI tools split deep analysis from reporting, which means separate notebooks, dashboards, and Slack threads with no shared logic. Hex keeps code-based notebooks, conversational Threads, and interactive data apps on one context engine, so a model built by a data scientist can become a self-serve app without redefining metrics. Context Studio adds observability into agent conversations, warnings, and topic trends across Hex, Slack, MCP, and CLI.

Data teams at companies like Notion, Figma, Ramp, and Anthropic use Hex to replace a stack of notebooks, BI tools, and ad-hoc requests. Analysts run complex workflows in notebooks, publish governed apps for stakeholders, and let business users self-serve through Slack without filing tickets.

Mode unites data teams and business teams around SQL, Python, R, and visual analysis in one workspace. Analysts run ad hoc queries, build interactive dashboards, and publish self-service reports without switching tools. The platform connects to major data warehouses and integrates with the dbt Semantic Layer for governed metrics across the organization.

Most BI tools force a choice between analyst-grade depth and business-user simplicity. Mode runs both on the same platform: data teams write SQL and Python notebooks while business users explore curated datasets through drag-and-drop dashboards. Reusable datasets, scheduled reports, and Slack sharing keep everyone on the same numbers without maintaining separate data models for each audience.

Mode targets data analysts, analytics engineers, and business intelligence teams at companies that have invested in a modern data stack. The free Studio plan supports up to 3 users with SQL, Python, and R at 10 MB per query. Pro and Enterprise tiers add 250 GB monthly compute, permissioning, API access, and visualization of tens of millions of rows. ThoughtSpot acquired Mode to combine collaborative BI with search-driven analytics.