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Mode Analytics

Mode Analytics

AI inside Mode (now ThoughtSpot).

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Monthly visits
1.5M
Growth
+4.0%
Rating
4.4 (26)

About Mode Analytics

Mode Analytics is a collaborative business intelligence platform that combines SQL editors, Python and R notebooks, and visual dashboards in a single workspace. Following its acquisition by ThoughtSpot, Mode has integrated AI-assisted features into its core workflow, allowing analysts to get help writing SQL queries, interpreting data, and building reports more efficiently. The AI layer functions as an in-product assistant that can suggest query completions, explain results in plain language, and help users navigate datasets without requiring them to leave the analysis environment. The platform is primarily aimed at data analysts and analytics engineers who are comfortable working in SQL but want to move faster through exploratory analysis and dashboard creation. Teams use Mode to connect directly to cloud data warehouses such as Snowflake, BigQuery, and Redshift, then build shareable reports that non-technical stakeholders can consume. The AI additions lower the barrier for less experienced users who may need guidance constructing queries or understanding what a chart is actually showing. Organizations that already rely on Mode for collaborative reporting can take advantage of these features without adopting a separate AI tool. Mode operates on a SaaS subscription model, with pricing structured around team size and feature access. A free tier exists for individuals and small teams with limited report capacity, while paid plans unlock additional users, private reports, and more advanced integrations. Enterprise pricing is available for larger organizations requiring stricter access controls, audit logging, and dedicated support. Since the ThoughtSpot acquisition, the long-term product roadmap has been increasingly shaped by ThoughtSpot's own AI-driven search and analytics philosophy, which means Mode's feature set is likely to deepen on the AI side over time. The platform suits data teams that want a flexible, code-friendly environment with enough AI assistance to accelerate routine tasks without replacing the analyst's judgment.

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