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Mode review

A capable cloud SQL workspace for analysis, reporting, and team delivery.

7.1/10Editor score
Mode7.1 Visit Mode

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Mode is a cloud business intelligence and analytics platform for data and business teams. It brings together a SQL editor with autocomplete, formatting, Liquid templating, query history, Python and R notebooks, visualizations, dashboards, filters, parameters, calculated fields, reusable datasets, reports, and APIs. Individual analysts can work in Studio, while teams can use higher tiers for scheduling, permissions, sharing, governance, and expanded data capacity. It is best suited to organizations that want SQL analysis connected directly to reporting workflows rather than a standalone database administration tool.

The published plans show a clear progression. Studio is free and includes SQL, Python, and R, private database connections, up to 3 users, and a 10 MB/query limit. Pro adds 250 GB/month and 5 GB/query, along with schedules, permissioning, email and Slack sharing, API access, and standard support. Enterprise adds Custom Data Compute, visualization for tens of millions of rows, advanced identity management, advanced SSO, admin-level API access, and premium support. Mode also includes AI Assist for generating and fixing SQL, plus REST APIs and webhooks, giving teams options for both assisted analysis and programmatic workflows.

Mode fits ecosystems that already include dbt, Looker, GitHub, Microsoft Excel, Google Sheets, Slack, or webhooks. Workspace collections, external sharing, PDFs, scheduled report delivery, and integrated notebooks make it practical for recurring analysis and stakeholder distribution. Its focus is narrower than a database administration suite: the strongest capabilities center on querying, analysis, visualization, and reporting. Choose Mode when analysts need a shared cloud workspace that turns SQL results into repeatable reports. Choose an alternative when administrative database controls or a deployment model beyond the cloud is the primary requirement.

Mode pros and cons

  • Where it wins
    • Combines SQL with integrated Python and R notebooks
    • Supports dashboards, reusable queries, schedules, and sharing
    • Includes AI SQL assistance, APIs, and broad collaboration features
  • Where it doesn't
    • Studio supports up to 3 users and 10 MB per query
    • Pro limits capacity to 250 GB per month and 5 GB per query
    • Cloud deployment is less suited to database administration

Mode fact sheet, pricing and score →

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