Hex combines notebooks, SQL, and visual components in one collaborative workspace. Connect to your warehouse, query with SQL or Python, and transform results with charts, maps, and tables. Turn analyses into shareable apps with inputs and filters, then version, review, and schedule runs. Permissions, lineage, and comments keep work auditable so teams reuse logic instead of rebuilding reports each quarter. Comments and approvals occur where analysis lives.
Query Snowflake, BigQuery, Redshift, and more, then mix SQL with Python in cells to clean, join, and model data. Dataframes and result sets flow between steps, and environments keep packages consistent across projects. Reusable connections enforce governance while allowing analysts to move quickly without copying credentials or extracts. Result previews and type hints catch issues early so teams avoid building on shaky assumptions.
Build charts, tables, maps, and custom components; wire inputs like dropdowns and date pickers so viewers explore safely. Publish interactive apps that hide complexity while keeping results live against the source. Embeds and exports let stakeholders use insights in wikis and dashboards without learning underlying tools. Input constraints protect queries, descriptions explain choices, and publishing ensures links point to current results, not stale screenshots.
Branch work, open pull requests, and review diffs before merging. Schedules run notebooks on cadences and write results back to the warehouse or email summaries to subscribers. Run logs and alerts surface failures quickly, and parameterized jobs adapt to regions, products, or client lists without duplication. Schedules pass parameters from tables; retries and notifications keep owners informed, and artifacts turn insights into trusted tables.
Document assumptions next to code and track dependencies between notebooks, queries, and models. Lineage reveals upstream tables and downstream apps so changes are deliberate and reversible. Templates and snippet libraries standardize joins, metrics, and charts so new projects start with trusted building blocks. Impact analysis estimates which apps change when columns update, and refactoring shared logic reduces duplication across teams.
Single sign-on, roles, and row-level controls protect data access. Integrations with dbt, Git, and BI tools keep analytics in sync across the stack. Audit trails and retention settings meet policy requirements while keeping collaboration fluid. Native secrets managers reduce key sprawl and isolation policies keep sensitive datasets separate. Change logs and exports support audits while allowing iteration within clear guardrails.
Recommended for data analysts, scientists, and product teams who need to move from query to shareable decisions fast. Hex blends code, visual authorship, and governance so analyses remain reproducible while stakeholders interact through simple app inputs. Teams reduce duplication by reusing notebooks and components, and managers gain clear review paths that scale. Governed sharing supports execs, sales, and ops with the same truth.
Analytics often splits across notebooks, ad hoc SQL, and static decks, making updates slow and error-prone. Hex centralizes querying, modeling, and sharing in one place, with scheduled runs and live connections to the source. That removes stale exports and copy-paste steps, while lineage and reviews prevent breaking changes. The result is faster cycles and decisions stakeholders trust because assumptions are visible and repeatable. Apps guide non-analysts safely.
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