Hex

Hex is a collaborative data notebook and app-building platform that combines SQL and Python notebooks with AI-powered code assistance, enabling analytics teams to build data analysis workflows and publish interactive apps from a single tool. Unlike traditional Jupyter notebooks, Hex is designed for team collaboration — multiple users can work in the same notebook simultaneously, with version control, sharing, and presentation built in.

Hex AI assists with SQL generation, Python code completion, chart configuration, and explaining complex queries. The platform connects to data warehouses (Snowflake, BigQuery, Databricks, Redshift) and supports notebooks with mixed SQL/Python cells that share a data environment. Published apps allow non-technical stakeholders to interact with analytics outputs without seeing the underlying code.

Key capabilities include collaborative SQL and Python notebooks, AI-assisted code generation and explanation, interactive app publishing, connections to all major data warehouses, versioning, scheduling for automated notebook runs, and GPU compute for ML workloads (pay-as-you-go).

Pricing: Community plan is free for individual use with limited features. Team plan Creator seats are priced at approximately $149-199 per user per month for data practitioners who build notebooks. Viewer seats for stakeholders who consume published apps are separately priced at lower rates. GPU compute for ML workloads is charged per usage. Enterprise pricing is custom.

Limitations: Creator seat pricing is high — $149-199/month per active analyst makes Hex expensive for teams. The pricing model distinguishes between creators and viewers, which can complicate budget planning. The platform is excellent for analytics teams but not optimized for solo data science work.

Best suited for analytics and data science teams at growth-stage and enterprise companies who want collaborative notebook tooling with AI assistance and the ability to publish interactive apps for business stakeholders.