Mode
Key Info:
Mode is an analytics platform for data teams that combines SQL analysis, notebooks, visualisations and shareable reports. It supports collaborative exploration in a browser and lets analysts turn code-backed work into interactive data products for business users. The workflow links analyst-authored queries and notebooks with reports intended for a wider audience.
Details
Analysis for technical teams
Mode provides a SQL editor for querying connected data warehouses and databases. Analysts can organise queries, inspect results and reuse work within reports. Notebook support adds Python and R for statistical analysis or transformations that are difficult to express in SQL alone. This makes the platform most useful when a data team wants code-level flexibility without distributing local notebooks and extracts.
Reports and business consumption
Query results can be converted into charts and assembled into reports. Reports can include interactive elements and contextual text so an analyst can explain the question, method and result in one place. Sharing a report is simpler than asking every stakeholder to navigate the underlying code, but owners still need to identify data freshness, metric definitions and supported filters.
Collaboration and governance
Teams can collaborate on analytical work and maintain a history of queries and reports. Connections, permissions and workspace organisation determine which users can access sensitive data or alter an analysis. Mode also offers integration and embedding paths, so administrators should review authentication, scheduled runs and the boundary between an internal analysis and a production data application.
Who should evaluate it
Mode is relevant to SQL-oriented data teams that serve a wider business audience. It can bridge exploratory analysis and repeatable reporting when analysts need to keep the code visible. Organisations looking mainly for drag-and-drop self-service authoring may prefer a tool whose primary workflow does not begin with SQL.
Evaluation notes
Recreate one recurring analysis that currently moves between a warehouse query, a notebook and a presentation. Confirm that another analyst can understand and rerun it, then ask a business user to interpret the published report. Test connection failure, parameter handling, permissions, scheduling, export and code dependencies. Define which reports are supported production assets and which remain exploratory. Check how ownership transfers when an analyst leaves the team.